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A

add_escapes(String) - Method in exception emolib.tokenizer.lexer.english.ParseException: Used to convert raw characters to their escaped version when these raw version cannot be used as part of an ASCII string literal.
add_escapes(String) - Method in exception emolib.tokenizer.lexer.spanish.ParseException: Used to convert raw characters to their escaped version when these raw version cannot be used as part of an ASCII string literal.
addActivation(float) - Method in class emolib.util.eval.semeval.SemevalCorpusCategorizerNN: Methdo to add an activation with the appropriate base to compute vector operations.
addEscapes(String) - Static method in error emolib.tokenizer.lexer.english.TokenMgrError: Replaces unprintable characters by their escaped (or unicode escaped) equivalents in the given string
addEscapes(String) - Static method in error emolib.tokenizer.lexer.spanish.TokenMgrError: Replaces unprintable characters by their escaped (or unicode escaped) equivalents in the given string
addLink(String, String) - Method in class emolib.classifier.machinelearning.ARNReduced.Graph: Method to add a link.
addLink(ARNReduced.GraphElement) - Method in class emolib.classifier.machinelearning.ARNReduced.Graph: Method to add a link with its frequential information.
addNode(String) - Method in class emolib.classifier.machinelearning.ARNReduced.Graph: Method to add a node.
addNode(ARNReduced.GraphElement) - Method in class emolib.classifier.machinelearning.ARNReduced.Graph: Method to add a node with its frequential information.
addOneCount() - Method in class emolib.classifier.machinelearning.ARNReduced.GraphElement: Method to add one count.
addParagraphData(ParagraphData) - Method in class emolib.util.proc.TextData: Adds a ParagraphData object into the text struct.
addSentenceData(SentenceData) - Method in class emolib.util.proc.ParagraphData: Adds a WordData object into the sentence struct.
addValence(float) - Method in class emolib.util.eval.semeval.SemevalCorpusCategorizerNN: Methdo to add a valence with the appropriate base to compute vector operations.
addWordData(WordData) - Method in class emolib.util.proc.SentenceData: Adds a WordData object into the sentence struct.
adjustBeginLineColumn(int, int) - Method in class emolib.tokenizer.lexer.english.SimpleCharStream: Method to adjust line and column numbers for the start of a token.
adjustBeginLineColumn(int, int) - Method in class emolib.tokenizer.lexer.spanish.SimpleCharStream: Method to adjust line and column numbers for the start of a token.
ADVERBIO_AFIRMACION - Static variable in interface emolib.tokenizer.lexer.english.EnglishLexerConstants: RegularExpression Id.
ADVERBIO_AFIRMACION - Static variable in interface emolib.tokenizer.lexer.spanish.SpanishLexerConstants: RegularExpression Id.
ADVERBIO_CUANTITATIVO_NEG_1 - Static variable in interface emolib.tokenizer.lexer.english.EnglishLexerConstants: RegularExpression Id.
ADVERBIO_CUANTITATIVO_NEG_1 - Static variable in interface emolib.tokenizer.lexer.spanish.SpanishLexerConstants: RegularExpression Id.
ADVERBIO_CUANTITATIVO_NEG_2 - Static variable in interface emolib.tokenizer.lexer.english.EnglishLexerConstants: RegularExpression Id.
ADVERBIO_CUANTITATIVO_NEG_2 - Static variable in interface emolib.tokenizer.lexer.spanish.SpanishLexerConstants: RegularExpression Id.
ADVERBIO_CUANTITATIVO_NEG_3 - Static variable in interface emolib.tokenizer.lexer.english.EnglishLexerConstants: RegularExpression Id.
ADVERBIO_CUANTITATIVO_NEG_3 - Static variable in interface emolib.tokenizer.lexer.spanish.SpanishLexerConstants: RegularExpression Id.
ADVERBIO_CUANTITATIVO_POS_1 - Static variable in interface emolib.tokenizer.lexer.english.EnglishLexerConstants: RegularExpression Id.
ADVERBIO_CUANTITATIVO_POS_1 - Static variable in interface emolib.tokenizer.lexer.spanish.SpanishLexerConstants: RegularExpression Id.
ADVERBIO_CUANTITATIVO_POS_2 - Static variable in interface emolib.tokenizer.lexer.english.EnglishLexerConstants: RegularExpression Id.
ADVERBIO_CUANTITATIVO_POS_2 - Static variable in interface emolib.tokenizer.lexer.spanish.SpanishLexerConstants: RegularExpression Id.
ADVERBIO_CUANTITATIVO_POS_3 - Static variable in interface emolib.tokenizer.lexer.english.EnglishLexerConstants: RegularExpression Id.
ADVERBIO_CUANTITATIVO_POS_3 - Static variable in interface emolib.tokenizer.lexer.spanish.SpanishLexerConstants: RegularExpression Id.
ADVERBIO_LUGAR - Static variable in interface emolib.tokenizer.lexer.english.EnglishLexerConstants: RegularExpression Id.
ADVERBIO_LUGAR - Static variable in interface emolib.tokenizer.lexer.spanish.SpanishLexerConstants: RegularExpression Id.
ADVERBIO_MODO - Static variable in interface emolib.tokenizer.lexer.english.EnglishLexerConstants: RegularExpression Id.
ADVERBIO_MODO - Static variable in interface emolib.tokenizer.lexer.spanish.SpanishLexerConstants: RegularExpression Id.
ADVERBIO_NEGACION - Static variable in interface emolib.tokenizer.lexer.english.EnglishLexerConstants: RegularExpression Id.
ADVERBIO_NEGACION - Static variable in interface emolib.tokenizer.lexer.spanish.SpanishLexerConstants: RegularExpression Id.
ADVERBIO_PROBABILIDAD - Static variable in interface emolib.tokenizer.lexer.english.EnglishLexerConstants: RegularExpression Id.
ADVERBIO_PROBABILIDAD - Static variable in interface emolib.tokenizer.lexer.spanish.SpanishLexerConstants: RegularExpression Id.
ADVERBIO_TIEMPO - Static variable in interface emolib.tokenizer.lexer.english.EnglishLexerConstants: RegularExpression Id.
ADVERBIO_TIEMPO - Static variable in interface emolib.tokenizer.lexer.spanish.SpanishLexerConstants: RegularExpression Id.
AffectiveFormatter - Class in emolib.formatter: The AffectiveFormatter abstract class defines the general structure to perform the formatting of the results.
AffectiveFormatter() - Constructor for class emolib.formatter.AffectiveFormatter: Main constructor of the AffectiveFormatter.
AffectiveTagger - Class in emolib: The AffectiveTagger is a wrapper class for the chain of Text Data Processors that perform the emotional tagging of the incoming text.
AffectiveTagger() - Constructor for class emolib.AffectiveTagger
Among - Class in emolib.stemmer.snowball
Among(String, int, int, String, SnowballProgram) - Constructor for class emolib.stemmer.snowball.Among
applyClassification(TextData) - Method in class emolib.classifier.Classifier: Method to perform the classification process.
applyEKS(TextData) - Method in class emolib.eks.anlw.EmotionalKeywordSpotterANLW: Method to perform the EKS process.
applyEKS(TextData) - Method in class emolib.eks.EmotionalKeywordSpotter: Method to perform the stemming process.
applyFormatting(TextData) - Method in class emolib.formatter.AffectiveFormatter: Method to perform the formatting process.
applyFormatting(TextData) - Method in class emolib.formatter.xml.XMLFormatter: Method to perform the formatting process at the paragraph and sentence level.
applyModelTermWeighing(ARNReduced.Graph, int) - Method in class emolib.classifier.machinelearning.ARNReduced: Method to weight the terms of corresponding to the model vector.
applyPOSTagging(TextData) - Method in class emolib.pos.POSTagger: Method to perform the POS tagging process.
applyPOSTagging(TextData) - Method in class emolib.pos.qtag.SpanishQTag: Method to perform the POS tagging process.
applyPOSTagging(TextData) - Method in class emolib.pos.stanford.EnglishStanford: Method to perform the POS tagging process.
applyPrinting(TextData) - Method in class emolib.util.printer.Printer: Method to perform the printing process.
applySentenceSplitting(TextData) - Method in class emolib.splitter.bdt.SentenceSplitterBDT: Method to perform the sentence segmentation process.
applySentenceSplitting(TextData) - Method in class emolib.splitter.SentenceSplitter: Method to perform the sentence splitting process.
applyStatistics(TextData) - Method in class emolib.statistic.average.ArithmeticMean: Method to perform the arithmetic mean calculations at the paragraph and sentence level.
applyStatistics(TextData) - Method in class emolib.statistic.Statistic: Method to perform the statistical process.
applyStemming(TextData) - Method in class emolib.stemmer.snowball.GenericSnowballStemmer: Method to perform the stemming process.
applyStemming(TextData) - Method in class emolib.stemmer.Stemmer: Method to perform the stemming process.
applyTermWeighing(ARNReduced.Graph, int) - Method in class emolib.classifier.machinelearning.ARNReduced: Method to apply a term weighting methodology to the given graph.
applyWSD(TextData) - Method in class emolib.wsd.openthes.OpenThesWSD: Method to perform the word-sense disambiguation process.
applyWSD(TextData) - Method in class emolib.wsd.simlib.SimLibWSD: Method to perform the word-sense disambiguation process.
applyWSD(TextData) - Method in class emolib.wsd.WordSenseDisambiguator: Method to perform the word sense disambiguation process.
ArithmeticMean - Class in emolib.statistic.average: The ArithmeticMean class calculates the arithmetic mean of the emotional data.
ArithmeticMean() - Constructor for class emolib.statistic.average.ArithmeticMean: Main constructor of the ArithmeticMean.
ARNReduced - Class in emolib.classifier.machinelearning: The ARNReduced classifies according to a cosine similarity in a weighted Vector Space Model with co-occurrences, which are assumed to capture the style in text.
ARNReduced() - Constructor for class emolib.classifier.machinelearning.ARNReduced: Main constructor of this classifier.
ARNReduced.Graph - Class in emolib.classifier.machinelearning: Generic graph inner class.
ARNReduced.Graph() - Constructor for class emolib.classifier.machinelearning.ARNReduced.Graph: Graph constructor.
ARNReduced.GraphElement - Class in emolib.classifier.machinelearning: Inner class representing an element of the graph.
ARNReduced.GraphElement() - Constructor for class emolib.classifier.machinelearning.ARNReduced.GraphElement: Constructor.
ARTICULO_DETERMINADO - Static variable in interface emolib.tokenizer.lexer.english.EnglishLexerConstants: RegularExpression Id.
ARTICULO_DETERMINADO - Static variable in interface emolib.tokenizer.lexer.spanish.SpanishLexerConstants: RegularExpression Id.
ARTICULO_FUSION - Static variable in interface emolib.tokenizer.lexer.spanish.SpanishLexerConstants: RegularExpression Id.
ARTICULO_INDETERMINADO - Static variable in interface emolib.tokenizer.lexer.english.EnglishLexerConstants: RegularExpression Id.
ARTICULO_INDETERMINADO - Static variable in interface emolib.tokenizer.lexer.spanish.SpanishLexerConstants: RegularExpression Id.
assign_to(StringBuffer) - Method in class emolib.stemmer.snowball.SnowballProgram
assign_to(StringBuilder) - Method in class emolib.stemmer.snowball.SnowballProgram

B

backup(int) - Method in class emolib.tokenizer.lexer.english.SimpleCharStream: Backup a number of characters.
backup(int) - Method in class emolib.tokenizer.lexer.spanish.SimpleCharStream: Backup a number of characters.
beginColumn - Variable in class emolib.tokenizer.lexer.english.Token: The column number of the first character of this Token.
beginColumn - Variable in class emolib.tokenizer.lexer.spanish.Token: The column number of the first character of this Token.
beginLine - Variable in class emolib.tokenizer.lexer.english.Token: The line number of the first character of this Token.
beginLine - Variable in class emolib.tokenizer.lexer.spanish.Token: The line number of the first character of this Token.
BeginToken() - Method in class emolib.tokenizer.lexer.english.SimpleCharStream: Start.
BeginToken() - Method in class emolib.tokenizer.lexer.spanish.SimpleCharStream: Start.
BernoulliNB - Class in emolib.classifier.machinelearning: The BernoulliNB class is a Bernoulli Naive Bayes classifier.
BernoulliNB() - Constructor for class emolib.classifier.machinelearning.BernoulliNB: Main constructor of this exponential regression classifier.
BLANK - Static variable in interface emolib.tokenizer.lexer.english.EnglishLexerConstants: RegularExpression Id.
BLANK - Static variable in interface emolib.tokenizer.lexer.spanish.SpanishLexerConstants: RegularExpression Id.
BOOLEAN - Static variable in class emolib.util.conf.PropertyType: An integer type
bra - Variable in class emolib.stemmer.snowball.SnowballProgram
bufcolumn - Variable in class emolib.tokenizer.lexer.english.SimpleCharStream
bufcolumn - Variable in class emolib.tokenizer.lexer.spanish.SimpleCharStream
buffer - Variable in class emolib.tokenizer.lexer.english.SimpleCharStream
buffer - Variable in class emolib.tokenizer.lexer.spanish.SimpleCharStream
bufline - Variable in class emolib.tokenizer.lexer.english.SimpleCharStream
bufline - Variable in class emolib.tokenizer.lexer.spanish.SimpleCharStream
bufpos - Variable in class emolib.tokenizer.lexer.english.SimpleCharStream: Position in buffer.
bufpos - Variable in class emolib.tokenizer.lexer.spanish.SimpleCharStream: Position in buffer.
buildFullGraph(ARNReduced.Graph) - Method in class emolib.classifier.machinelearning.ARNReduced: Function to build a full graph with the term frequencies given by the input terms.
buildGraph(FeatureBox) - Method in class emolib.classifier.machinelearning.ARNReduced: Function to build a graph from input features.

C

ClassConditionalDensity - Interface in emolib.classifier.machinelearning.density: The ClassConditionalDensity interface defines the function to retrieve the probabilities conditioned on a class given an observed feature.
Classifier - Class in emolib.classifier: The Classifier abstract class defines the basic methods that any EmoLib classifier should implement in order to provide an affective label.
Classifier() - Constructor for class emolib.classifier.Classifier: Main constructor of the Classifier.
clone() - Method in class emolib.util.proc.ParagraphData: Returns a clone of this Data object.
clone() - Method in class emolib.util.proc.SentenceData: Returns a clone of this Data object.
clone() - Method in class emolib.util.proc.TextData: Returns a clone of this Data object.
clone() - Method in class emolib.util.proc.WordData: Returns a clone of this Data object.
cloneElement() - Method in class emolib.classifier.machinelearning.ARNReduced.GraphElement: Function to clone this element.
cloneGraph() - Method in class emolib.classifier.machinelearning.ARNReduced.Graph: Function to clone this graph.
column - Variable in class emolib.tokenizer.lexer.english.SimpleCharStream
column - Variable in class emolib.tokenizer.lexer.spanish.SimpleCharStream
COMPONENT - Static variable in class emolib.util.conf.PropertyType: A String type
COMPONENT_LIST - Static variable in class emolib.util.conf.PropertyType: An array of components
computeResultingDimentions(String[]) - Method in class emolib.util.eval.semeval.SemevalCorpusCategorizerNN: The method to compute the resulting emotional dimentions according to the base reference emotions and their associated weight.
computeStatistics() - Method in class emolib.classifier.machinelearning.Logistic.VectorStatistics: Function to compute the dimensional means and variances.
Configurable - Interface in emolib.util.conf: Defines the interface that must be implemented by any configurable component in Sphinx-4.
ConfigurationManager - Class in emolib.util.conf: Manages the configuration for the system.
ConfigurationManager(URL) - Constructor for class emolib.util.conf.ConfigurationManager: Creates a new configuration manager.
ConfusionMatrixCalculator - Class in emolib.util.eval: The ConfusionMatrixCalculator class calculates the confusion matrix associated to two input datasets.
ConfusionMatrixCalculator() - Constructor for class emolib.util.eval.ConfusionMatrixCalculator: Void constructor.
CONJUNCION_ADVERSATIVA - Static variable in interface emolib.tokenizer.lexer.english.EnglishLexerConstants: RegularExpression Id.
CONJUNCION_ADVERSATIVA - Static variable in interface emolib.tokenizer.lexer.spanish.SpanishLexerConstants: RegularExpression Id.
CONJUNCION_CAUSAL - Static variable in interface emolib.tokenizer.lexer.english.EnglishLexerConstants: RegularExpression Id.
CONJUNCION_CAUSAL - Static variable in interface emolib.tokenizer.lexer.spanish.SpanishLexerConstants: RegularExpression Id.
CONJUNCION_COPULATIVA - Static variable in interface emolib.tokenizer.lexer.english.EnglishLexerConstants: RegularExpression Id.
CONJUNCION_COPULATIVA - Static variable in interface emolib.tokenizer.lexer.spanish.SpanishLexerConstants: RegularExpression Id.
CONJUNCION_DISYUNTIVA - Static variable in interface emolib.tokenizer.lexer.english.EnglishLexerConstants: RegularExpression Id.
CONJUNCION_DISYUNTIVA - Static variable in interface emolib.tokenizer.lexer.spanish.SpanishLexerConstants: RegularExpression Id.
CONJUNCION_FINAL - Static variable in interface emolib.tokenizer.lexer.spanish.SpanishLexerConstants: RegularExpression Id.
CONJUNCION_TEMPORAL - Static variable in interface emolib.tokenizer.lexer.english.EnglishLexerConstants: RegularExpression Id.
CONJUNCION_TEMPORAL - Static variable in interface emolib.tokenizer.lexer.spanish.SpanishLexerConstants: RegularExpression Id.
containsElement(ARNReduced.GraphElement) - Method in class emolib.classifier.machinelearning.ARNReduced.Graph: Function to determine if it contains an element.
containsEmotionalDimensions() - Method in class emolib.classifier.FeatureBox: Method to set if this FeatureBox contains emotional dimensions.
containsEmotionalDimentions() - Method in class emolib.util.proc.ParagraphData: Determines if this WordData object has emotional dimentions.
containsEmotionalDimentions() - Method in class emolib.util.proc.SentenceData: Determines if this WordData object has emotional dimentions.
containsEmotionalDimentions() - Method in class emolib.util.proc.TextData: Determines if this TextData object has emotional dimentions.
containsEmotionalDimentions() - Method in class emolib.util.proc.WordData: Determines if this WordData object has emotional dimentions.
containsEmotionalKey(String) - Method in class emolib.eks.anlw.DictionaryANLW: Function to determine if the input key has a match in the database.
containsLink(String, String) - Method in class emolib.classifier.machinelearning.ARNReduced.Graph: Function to check if the graph contains a specific link.
containsNode(String) - Method in class emolib.classifier.machinelearning.ARNReduced.Graph: Function to check if the graph contains a specific node.
containsStemmedSynonyms() - Method in class emolib.util.proc.WordData: Function to determine if this WordData object contains stemmed synonyms.
containsSynonyms() - Method in class emolib.classifier.FeatureBox: Function to check if this FeatureBox contains any synonyms.
containsSynonyms() - Method in class emolib.util.proc.WordData: Function to determine if this WordData object contains synonyms.
containsWordPOS() - Method in class emolib.util.proc.WordData: Function to check if the word has a POS tag.
copy_from(SnowballProgram) - Method in class emolib.stemmer.snowball.SnowballProgram
CorpusVocabularyStatistics - Class in emolib.util.eval: The CorpusVocabularyStatistics class performs a vocabulary analysis on the input text file.
CorpusVocabularyStatistics() - Constructor for class emolib.util.eval.CorpusVocabularyStatistics: Void constructor.
correctIndentation(String) - Method in class emolib.util.IndentationFormatter: Function to correct the indentation of a line of code.
createDataset(String, String) - Method in class emolib.util.eval.CreateTextClassData: The procedure that processes.
CreateTextClassData - Class in emolib.util.eval: The CreateTextClassData class performs the creation of a dataset for the text classifier.
CreateTextClassData() - Constructor for class emolib.util.eval.CreateTextClassData: Void constructor.
curChar - Variable in class emolib.tokenizer.lexer.english.EnglishLexerTokenManager
curChar - Variable in class emolib.tokenizer.lexer.spanish.SpanishLexerTokenManager
current - Variable in class emolib.stemmer.snowball.SnowballProgram
currentToken - Variable in exception emolib.tokenizer.lexer.english.ParseException: This is the last token that has been consumed successfully.
currentToken - Variable in exception emolib.tokenizer.lexer.spanish.ParseException: This is the last token that has been consumed successfully.
cursor - Variable in class emolib.stemmer.snowball.SnowballProgram

D

Data - Interface in emolib.util.proc: Implements the interface for all Data objects that passes between DataProcessors.
DataProcessingException - Exception in emolib.util.proc: Thrown to indicate that a DataProcessor has problems processing incoming Data objects.
DataProcessingException() - Constructor for exception emolib.util.proc.DataProcessingException: Constructs a DataProcessingException with no detailed message.
DataProcessingException(String) - Constructor for exception emolib.util.proc.DataProcessingException: Constructs a DataProcessingException with the specified detailed message.
DataProcessor - Interface in emolib.util.proc: A processor that performs a signal processing function.
debugStream - Variable in class emolib.tokenizer.lexer.english.EnglishLexerTokenManager: Debug output.
debugStream - Variable in class emolib.tokenizer.lexer.spanish.SpanishLexerTokenManager: Debug output.
DEFAULT - Static variable in interface emolib.tokenizer.lexer.english.EnglishLexerConstants: Lexical state.
DEFAULT - Static variable in interface emolib.tokenizer.lexer.spanish.SpanishLexerConstants: Lexical state.
DEMOSTRATIVO - Static variable in interface emolib.tokenizer.lexer.english.EnglishLexerConstants: RegularExpression Id.
DEMOSTRATIVO - Static variable in interface emolib.tokenizer.lexer.spanish.SpanishLexerConstants: RegularExpression Id.
DictionaryANLW - Class in emolib.eks.anlw: The DictionaryANLW class provides a dictionary to deal with the emotional dimensions contained in the ANLW database.
DictionaryANLW(String) - Constructor for class emolib.eks.anlw.DictionaryANLW: The main constructor of the DictionaryANLW object.
DIGITO - Static variable in interface emolib.tokenizer.lexer.english.EnglishLexerConstants: RegularExpression Id.
DIGITO - Static variable in interface emolib.tokenizer.lexer.spanish.SpanishLexerConstants: RegularExpression Id.
DimentionsANLW - Class in emolib.eks.anlw: The DimentionsANLW class is a construct that holds the emotional dimensions of a word stem found in the ANLW database.
DimentionsANLW() - Constructor for class emolib.eks.anlw.DimentionsANLW: Constructs an empty DimentionsANLW object.
DimentionsANLW(String, float, float, float, String) - Constructor for class emolib.eks.anlw.DimentionsANLW: Constructs and fills a DimentionsANLW object.
disable_tracing() - Method in class emolib.tokenizer.lexer.english.EnglishLexer: Disable tracing.
disable_tracing() - Method in class emolib.tokenizer.lexer.spanish.SpanishLexer: Disable tracing.
Done() - Method in class emolib.tokenizer.lexer.english.SimpleCharStream: Reset buffer when finished.
Done() - Method in class emolib.tokenizer.lexer.spanish.SimpleCharStream: Reset buffer when finished.
DOUBLE - Static variable in class emolib.util.conf.PropertyType: A floating point type
doubleToScientificString(double, int) - Static method in class emolib.util.Utilities: Returns the string representation of the given double value in normalized scientific notation.
dump(PrintStream) - Method in interface emolib.util.conf.PropertySheet: Dumps this sheet to the given stream
dump(PrintWriter, int, String) - Static method in class emolib.util.Utilities: Dumps padded text.
dumpContent() - Method in class emolib.classifier.machinelearning.ARNReduced.Graph: Dump the content of this graph for debugging purposes.
dumpMemoryInfo(String) - Static method in class emolib.util.Utilities: Dumps out memory information

E

editConfig(String) - Method in class emolib.util.conf.ConfigurationManager
emolib - package emolib: Provides the highest level of abstraction of EmoLib: the text processing pipeline.
emolib.classifier - package emolib.classifier: Provides a high-level class to perform the classification (categorisation) process.
emolib.classifier.eval - package emolib.classifier.eval: Provides classes implementing different classifier evaluation strategies to measure the effectiveness rates of the classifiers.
emolib.classifier.heuristic - package emolib.classifier.heuristic: Heuristic classifiers.
emolib.classifier.machinelearning - package emolib.classifier.machinelearning: Machine Learning classifiers.
emolib.classifier.machinelearning.density - package emolib.classifier.machinelearning.density: Provides some class-conditional densities for modeling the feature space.
emolib.eks - package emolib.eks: Provides a high-level class to perform the Emotional Keyword Spotting (EKS) process.
emolib.eks.anlw - package emolib.eks.anlw: Provides a class to perform the Emotional Keyword Spotting (EKS) using an Affective Norms Language Words (ANLW) dictionary.
emolib.formatter - package emolib.formatter: Provides a high-level class to perform the formatting of the results.
emolib.formatter.xml - package emolib.formatter.xml: Provides a class to perform the formatting of the results process using an Extensible Markup Language (XML) specification.
emolib.pos - package emolib.pos: Provides a high-level class to perform the Part-Of-Speech tagging process.
emolib.pos.qtag - package emolib.pos.qtag: Provides a class to perform the Part-Of-Speech tagging process using the QTag POS tagger.
emolib.pos.stanford - package emolib.pos.stanford: Provides a class to perform the Part-Of-Speech tagging process using the Stanford POS tagger.
emolib.splitter - package emolib.splitter: Provides a high-level class to perform the sentence segmentation process.
emolib.splitter.bdt - package emolib.splitter.bdt: Provides a class to perform the sentence splitting through a hand-crafted Binary Decision Tree (BDT).
emolib.statistic - package emolib.statistic: Provides a high-level class to calculate the emotional (dimensional) statistics.
emolib.statistic.average - package emolib.statistic.average: Provides classes to perform the statistical calculations with the emotional data.
emolib.stemmer - package emolib.stemmer: Provides a high-level class to perform the stemming process.
emolib.stemmer.snowball - package emolib.stemmer.snowball: Provides a class to perform the stemming process using the Snowball Spanish stemming algorithm.
emolib.stemmer.snowball.ext - package emolib.stemmer.snowball.ext: Provides classes to perform the stemming process using the Snowball stemming algorithms in different languages.
emolib.tokenizer - package emolib.tokenizer: Provides a high-level class to perform the tokenisation process.
emolib.tokenizer.lexer.english - package emolib.tokenizer.lexer.english: Provides classes to perform the tokenisation process in English using a JavaCC lexer.
emolib.tokenizer.lexer.spanish - package emolib.tokenizer.lexer.spanish: Provides classes to perform the tokenisation process in Spanish using a JavaCC lexer.
emolib.util - package emolib.util: Provides a set of configuration, processing, formatting and evaluation utilities for EmoLib.
emolib.util.conf - package emolib.util.conf: Provides a mechanism for managing persistent configuration data.
emolib.util.eval - package emolib.util.eval: Provides classes to evaluate the performance of EmoLib.
emolib.util.eval.semeval - package emolib.util.eval.semeval: Provides classes to evaluate the performance of EmoLib with the Semeval 2007 task dataset.
emolib.util.printer - package emolib.util.printer: Provides a class to test the contents of the processing pipeline.
emolib.util.proc - package emolib.util.proc: Provides high-level structural implementations of the tools to perform the text processing tasks.
emolib.util.servlet.en - package emolib.util.servlet.en: Processing service in English.
emolib.util.servlet.es - package emolib.util.servlet.es: Processing service in Spanish.
emolib.wsd - package emolib.wsd: Provides a high-level class to perform the Word Sense Disambiguation process.
emolib.wsd.openthes - package emolib.wsd.openthes: Provides a class to perform the Word Sense Disambiguation (WSD) process using the OpenThesaurus-es Spanish thesaurus.
emolib.wsd.simlib - package emolib.wsd.simlib: Provides a high-level class to perform the word sense disambiguation (WSD) process using the WordNet Similarity library.
EmotionalKeywordSpotter - Class in emolib.eks: The EmotionalKeywordSpotter abstract class defines the general structure to perform the Emotional Keyword Spotting (EKS) process, which detects the words with an affective content and assigns them the pertinent emotional dimensions.
EmotionalKeywordSpotter() - Constructor for class emolib.eks.EmotionalKeywordSpotter: Main constructor of the Stemmer.
EmotionalKeywordSpotterANLW - Class in emolib.eks.anlw: The EmotionalKeywordSpotterANLW class performs the Emotional Keyword Spotting (EKS) process using the Affective Norms Language Words (ANLW) dictionary.
EmotionalKeywordSpotterANLW() - Constructor for class emolib.eks.anlw.EmotionalKeywordSpotterANLW: Main constructor of the EmotionalKeywordSpotterANLW.
enable_tracing() - Method in class emolib.tokenizer.lexer.english.EnglishLexer: Enable tracing.
enable_tracing() - Method in class emolib.tokenizer.lexer.spanish.SpanishLexer: Enable tracing.
endColumn - Variable in class emolib.tokenizer.lexer.english.Token: The column number of the last character of this Token.
endColumn - Variable in class emolib.tokenizer.lexer.spanish.Token: The column number of the last character of this Token.
endLine - Variable in class emolib.tokenizer.lexer.english.Token: The line number of the last character of this Token.
endLine - Variable in class emolib.tokenizer.lexer.spanish.Token: The line number of the last character of this Token.
EnglishLexer - Class in emolib.tokenizer.lexer.english: Inherits the common methods and functions from the Tokenizer and implements an English lexical analyzer with JavaCC.
EnglishLexer() - Constructor for class emolib.tokenizer.lexer.english.EnglishLexer: Void constructor needed to by the configuration manager to perform the instantiation.
EnglishLexer(InputStream) - Constructor for class emolib.tokenizer.lexer.english.EnglishLexer: Constructor with InputStream.
EnglishLexer(InputStream, String) - Constructor for class emolib.tokenizer.lexer.english.EnglishLexer: Constructor with InputStream and supplied encoding
EnglishLexer(Reader) - Constructor for class emolib.tokenizer.lexer.english.EnglishLexer: Constructor.
EnglishLexer(EnglishLexerTokenManager) - Constructor for class emolib.tokenizer.lexer.english.EnglishLexer: Constructor with generated Token Manager.
EnglishLexerConstants - Interface in emolib.tokenizer.lexer.english: Token literal values and constants.
EnglishLexerTokenManager - Class in emolib.tokenizer.lexer.english: Token Manager.
EnglishLexerTokenManager(SimpleCharStream) - Constructor for class emolib.tokenizer.lexer.english.EnglishLexerTokenManager: Constructor.
EnglishLexerTokenManager(SimpleCharStream, int) - Constructor for class emolib.tokenizer.lexer.english.EnglishLexerTokenManager: Constructor.
EnglishStanford - Class in emolib.pos.stanford: The EnglishStanford class performs the Part-Of-Speech (POS) tagging process in English using the Stanford POS tagger.
EnglishStanford() - Constructor for class emolib.pos.stanford.EnglishStanford: Main constructor of the SpanishQTag.
englishStemmer - Class in emolib.stemmer.snowball.ext: This class was automatically generated by a Snowball to Java compiler It implements the stemming algorithm defined by a snowball script.
englishStemmer() - Constructor for class emolib.stemmer.snowball.ext.englishStemmer
EOF - Static variable in interface emolib.tokenizer.lexer.english.EnglishLexerConstants: End of File.
EOF - Static variable in interface emolib.tokenizer.lexer.spanish.SpanishLexerConstants: End of File.
eol - Variable in exception emolib.tokenizer.lexer.english.ParseException: The end of line string for this machine.
eol - Variable in exception emolib.tokenizer.lexer.spanish.ParseException: The end of line string for this machine.
eq_s(int, String) - Method in class emolib.stemmer.snowball.SnowballProgram
eq_s_b(int, String) - Method in class emolib.stemmer.snowball.SnowballProgram
eq_v(CharSequence) - Method in class emolib.stemmer.snowball.SnowballProgram
eq_v_b(CharSequence) - Method in class emolib.stemmer.snowball.SnowballProgram
equals(Object) - Method in class emolib.stemmer.snowball.ext.englishStemmer
equals(Object) - Method in class emolib.stemmer.snowball.ext.spanishStemmer
ESPECIAL - Static variable in interface emolib.tokenizer.lexer.english.EnglishLexerConstants: RegularExpression Id.
ESPECIAL - Static variable in interface emolib.tokenizer.lexer.spanish.SpanishLexerConstants: RegularExpression Id.
ESPECIFICACION - Static variable in interface emolib.tokenizer.lexer.english.EnglishLexerConstants: RegularExpression Id.
ESPECIFICACION - Static variable in interface emolib.tokenizer.lexer.spanish.SpanishLexerConstants: RegularExpression Id.
evaluate(Classifier) - Method in class emolib.classifier.eval.KFoldXValidation: Method to evaluate the dataset and output the result of the k-fold cross-validation process.
evaluate(String, String) - Method in class emolib.util.eval.ConfusionMatrixCalculator: Method to evaluate the datasets and construct the confusion matrix.
ExampleTextFile - Class in emolib.util.eval: The ExampleTextFile class performs an emotional analysis on the input text file.
ExampleTextFile() - Constructor for class emolib.util.eval.ExampleTextFile: Void constructor.
EXCLAMATIVA - Static variable in interface emolib.tokenizer.lexer.english.EnglishLexerConstants: RegularExpression Id.
EXCLAMATIVA - Static variable in interface emolib.tokenizer.lexer.spanish.SpanishLexerConstants: RegularExpression Id.
ExpandBuff(boolean) - Method in class emolib.tokenizer.lexer.english.SimpleCharStream
ExpandBuff(boolean) - Method in class emolib.tokenizer.lexer.spanish.SimpleCharStream
expectedTokenSequences - Variable in exception emolib.tokenizer.lexer.english.ParseException: Each entry in this array is an array of integers.
expectedTokenSequences - Variable in exception emolib.tokenizer.lexer.spanish.ParseException: Each entry in this array is an array of integers.
exportVectorTF() - Method in class emolib.classifier.machinelearning.ARNReduced.Graph: Function to export this graph as a vector of term frequencies.
exportWeighedVector() - Method in class emolib.classifier.machinelearning.ARNReduced.Graph: Function to export this graph as a vector of weighed measures.
exportWeightedMatrix() - Method in class emolib.classifier.machinelearning.ARNReduced.Graph: Function to export this graph into a weighted matrix.
ExtractCoincidences - Class in emolib.util.eval.semeval: The ExtractCoincidences class checks the coincidences between the two input emotion tag categorisations and creates one file with these matches, another file with the predictions produced by EmoLib and a file containing the original sentences for further study (relation with its dimensions).
ExtractCoincidences() - Constructor for class emolib.util.eval.semeval.ExtractCoincidences: Void constructor.

F

FeatureBox - Class in emolib.classifier: The FeatureBox class defines the data container that must be used to interact with the classifiers.
FeatureBox() - Constructor for class emolib.classifier.FeatureBox: Main constructor.
FeatureBox(String) - Constructor for class emolib.classifier.FeatureBox: Constructor with text.
FillBuff() - Method in class emolib.tokenizer.lexer.english.SimpleCharStream
FillBuff() - Method in class emolib.tokenizer.lexer.spanish.SimpleCharStream
fillConfigurationValues(float, float, float, float, float, float, float) - Method in class emolib.tokenizer.Tokenizer: Method to fill this Tokenizer with the appropriate configuration values.
FIN_FRASE - Static variable in interface emolib.tokenizer.lexer.english.EnglishLexerConstants: RegularExpression Id.
FIN_FRASE - Static variable in interface emolib.tokenizer.lexer.spanish.SpanishLexerConstants: RegularExpression Id.
find_among(Among[], int) - Method in class emolib.stemmer.snowball.SnowballProgram
find_among_b(Among[], int) - Method in class emolib.stemmer.snowball.SnowballProgram
FiveIntervalsKE - Class in emolib.classifier.heuristic: The FiveIntervalsKE is a heuristic rules-based classifier operating on the circumplex with emotions.
FiveIntervalsKE() - Constructor for class emolib.classifier.heuristic.FiveIntervalsKE: Main constructor of this rules classifier.
FLOAT - Static variable in class emolib.util.conf.PropertyType: A floating point type
flush() - Method in class emolib.AffectiveTagger
flush() - Method in class emolib.formatter.xml.XMLFormatter
flush() - Method in class emolib.statistic.average.ArithmeticMean
flush() - Method in class emolib.util.proc.TextDataProcessor: Method to flush the previous partial results of this TextDataProcessor.
format(LogRecord) - Method in class emolib.util.SphinxLogFormatter: Formats the given log record and return the formatted string.

G

Gaussian - Class in emolib.classifier.machinelearning.density: The Gaussian class models a given dataset with a univariate normal distribution.
Gaussian() - Constructor for class emolib.classifier.machinelearning.density.Gaussian: Main constructor of this density.
Gaussian(float, float) - Constructor for class emolib.classifier.machinelearning.density.Gaussian: Constructor with parameters.
generateParseException() - Method in class emolib.tokenizer.lexer.english.EnglishLexer: Generate ParseException.
generateParseException() - Method in class emolib.tokenizer.lexer.spanish.SpanishLexer: Generate ParseException.
GenericSnowballStemmer - Class in emolib.stemmer.snowball: The GenericSnowballStemmer class performs the stemming process using the Snowball library.
GenericSnowballStemmer() - Constructor for class emolib.stemmer.snowball.GenericSnowballStemmer: Main constructor of the GenericSnowballStemmer.
getActivation() - Method in class emolib.classifier.FeatureBox: Function to retrieve the activation value of this FeatureBox.
getActivation() - Method in class emolib.eks.anlw.DimentionsANLW: Gets the activation of the object.
getArrayOfTerms() - Method in class emolib.classifier.machinelearning.ARNReduced.Graph: Function to retrieve a list of terms from this graph.
getBeginColumn() - Method in class emolib.tokenizer.lexer.english.SimpleCharStream: Get token beginning column number.
getBeginColumn() - Method in class emolib.tokenizer.lexer.spanish.SimpleCharStream: Get token beginning column number.
getBeginLine() - Method in class emolib.tokenizer.lexer.english.SimpleCharStream: Get token beginning line number.
getBeginLine() - Method in class emolib.tokenizer.lexer.spanish.SimpleCharStream: Get token beginning line number.
getBigramVocabularySize(int, String) - Method in class emolib.classifier.machinelearning.ARNReduced: Function to retrieve the number of terms (vocabulary size, bigrams alone) which frequency is greater than the given threshold, wrt a given category.
getBoolean(String, boolean) - Method in interface emolib.util.conf.PropertySheet: Gets the value associated with this name
getCategory(FeatureBox) - Method in class emolib.classifier.Classifier: The function that decides the most appropriate emotional category.
getCategory(FeatureBox) - Method in class emolib.classifier.heuristic.FiveIntervalsKE
getCategory(FeatureBox) - Method in class emolib.classifier.heuristic.ThreeIntervalsKE
getCategory(FeatureBox) - Method in class emolib.classifier.machinelearning.ARNReduced
getCategory(FeatureBox) - Method in class emolib.classifier.machinelearning.BernoulliNB
getCategory(FeatureBox) - Method in class emolib.classifier.machinelearning.HierarchicalARNReduced
getCategory(FeatureBox) - Method in class emolib.classifier.machinelearning.KNearestNeighbour
getCategory(FeatureBox) - Method in class emolib.classifier.machinelearning.Logistic
getCategory(FeatureBox) - Method in class emolib.classifier.machinelearning.LSA
getCategory(FeatureBox) - Method in class emolib.classifier.machinelearning.MultinomialNB
getCategory(FeatureBox) - Method in class emolib.classifier.machinelearning.NaiveBayes
getCategory(FeatureBox) - Method in class emolib.classifier.machinelearning.NearestCentroid
getCategory(FeatureBox) - Method in class emolib.classifier.machinelearning.OrdinalLogReg
getCategory(FeatureBox) - Method in class emolib.classifier.machinelearning.RiskLogReg
getCategory(FeatureBox) - Method in class emolib.classifier.machinelearning.RiskWeightedNaiveBayes
getCategory(FeatureBox) - Method in class emolib.classifier.machinelearning.SupportVectorMachine
getCategory(FeatureBox) - Method in class emolib.classifier.machinelearning.WekaMultinomialNB
getCategory() - Method in class emolib.eks.anlw.DimentionsANLW: Gets the word-class of the object.
getCategory(float, float, float, String) - Method in class emolib.util.eval.semeval.SemevalCorpusCategorizerNN: Function to obtain the nearest category from the classifier.
getCategoryGraphs() - Method in class emolib.classifier.machinelearning.ARNReduced: Function to recover the category-specific graphs.
getCategoryHash() - Method in class emolib.classifier.machinelearning.ARNReduced: Function to retrieve a hash map of the categories to deal with.
getCategoryList() - Method in class emolib.classifier.machinelearning.ARNReduced: Function to retrieve a list of the categories to deal with.
getCategoryName() - Method in class emolib.classifier.machinelearning.ARNReduced.Graph: Function to get the category name of this graph.
getColumn() - Method in class emolib.tokenizer.lexer.english.SimpleCharStream: Deprecated.
getColumn() - Method in class emolib.tokenizer.lexer.spanish.SimpleCharStream: Deprecated.
getComponent(String, Class) - Method in interface emolib.util.conf.PropertySheet: Gets a component associated with the given parameter name
getComponentList(String, Class) - Method in interface emolib.util.conf.PropertySheet: Gets a list of components associated with the given parameter name
getControl() - Method in class emolib.classifier.FeatureBox: Function to retrieve the control value of this FeatureBox.
getControl() - Method in class emolib.eks.anlw.DimentionsANLW: Gets the control of the object.
getCorpusSize(String) - Method in class emolib.classifier.machinelearning.ARNReduced: Function to retrieve the corpus size (number of words) of the given category.
getCorpusTupleSize(String) - Method in class emolib.classifier.machinelearning.ARNReduced: Function to retrieve the corpus size of tuples of the given category.
getCurrent() - Method in class emolib.stemmer.snowball.SnowballProgram: Get the current string.
getData() - Method in class emolib.AffectiveTagger: Returns the processed Data output, basically calls getData() on the last processor.
getData() - Method in class emolib.classifier.Classifier: Obtains the TextData from the previous module, processes it and makes it available to the rest of the text processing chain.
getData() - Method in class emolib.eks.EmotionalKeywordSpotter: Obtains the TextData from the previous module, processes it and makes it available to the rest of the text processing chain.
getData() - Method in class emolib.formatter.AffectiveFormatter: Obtains the TextData from the previous module, processes it and makes it available to the rest of the text processing chain.
getData() - Method in class emolib.pos.POSTagger: Obtains the TextData from the previous module, processes it and makes it available to the rest of the text processing chain.
getData() - Method in class emolib.splitter.SentenceSplitter: Obtains the TextData from the previous module, processes it and makes it available to the rest of the text processing chain.
getData() - Method in class emolib.statistic.Statistic: Obtains the TextData from the previous module, processes it and makes it available to the rest of the text processing chain.
getData() - Method in class emolib.stemmer.Stemmer: Obtains the TextData from the previous module, processes it and makes it available to the rest of the text processing chain.
getData() - Method in class emolib.tokenizer.Tokenizer: Generates the TextData available to the rest of the text processing chain.
getData() - Method in class emolib.util.printer.Printer: Obtains the TextData from the previous module, processes it and makes it available to the rest of the text processing chain.
getData() - Method in interface emolib.util.proc.DataProcessor: Returns the processed Data output.
getData() - Method in class emolib.util.proc.TextDataProcessor
getData() - Method in class emolib.wsd.WordSenseDisambiguator: Obtains the TextData from the previous module, processes it and makes it available to the rest of the text processing chain.
getDimentionsProducedByAdjective(String) - Method in class emolib.eks.anlw.DictionaryANLW: Retrieves the emotional dimentions for this adjective-based stem.
getDimentionsProducedByNoun(String) - Method in class emolib.eks.anlw.DictionaryANLW: Retrieves the emotional dimentions for this noun-based stem.
getDimentionsProducedByVerb(String) - Method in class emolib.eks.anlw.DictionaryANLW: Retrieves the emotional dimentions for this verb-based stem.
getDouble(String, double) - Method in interface emolib.util.conf.PropertySheet: Gets the value associated with this name
getElement(int) - Method in class emolib.classifier.machinelearning.ARNReduced.Graph: Function to retrive the specified element of this graph.
getElementTermFrequency(ARNReduced.GraphElement) - Method in class emolib.classifier.machinelearning.ARNReduced.Graph: Function to retrieve the TF of the given graph element, whatsoever it is (node or term).
getEmoLibPath() - Method in class emolib.AffectiveTagger: Function that returns the root path of EmoLib.
getEmotionalActivation() - Method in class emolib.util.proc.ParagraphData: Retrieves the activation of the emotion of this paragraph.
getEmotionalActivation() - Method in class emolib.util.proc.SentenceData: Retrieves the activation of the emotion of this sentence.
getEmotionalActivation() - Method in class emolib.util.proc.TextData: Retrieves the activation of the emotion of this document.
getEmotionalActivation() - Method in class emolib.util.proc.WordData: Retrieves the activation of the emotion of this word.
getEmotionalCategory() - Method in class emolib.util.proc.ParagraphData: Retrieves the category of the emotion of this paragraph.
getEmotionalCategory() - Method in class emolib.util.proc.SentenceData: Retrieves the category of the emotion of this sentence.
getEmotionalCategory() - Method in class emolib.util.proc.TextData: Retrieves the category of the emotion of this document.
getEmotionalCategory() - Method in class emolib.util.proc.WordData: Retrieves the category of the emotion of this word.
getEmotionalControl() - Method in class emolib.util.proc.ParagraphData: Retrieves the control of the emotion of this paragraph.
getEmotionalControl() - Method in class emolib.util.proc.SentenceData: Retrieves the control of the emotion of this sentence.
getEmotionalControl() - Method in class emolib.util.proc.TextData: Retrieves the control of the emotion of this document.
getEmotionalControl() - Method in class emolib.util.proc.WordData: Retrieves the control of the emotion of this word.
getEmotionalValence() - Method in class emolib.util.proc.ParagraphData: Retrieves the valence of the emotion of this paragraph.
getEmotionalValence() - Method in class emolib.util.proc.SentenceData: Retrieves the valence of the emotion of this sentence.
getEmotionalValence() - Method in class emolib.util.proc.TextData: Retrieves the valence of the emotion of this document.
getEmotionalValence() - Method in class emolib.util.proc.WordData: Retrieves the valence of the emotion of this word.
getEmotionCategories() - Method in class emolib.classifier.machinelearning.NaiveBayes: Function to retrieve the emotion categories.
getEndColumn() - Method in class emolib.tokenizer.lexer.english.SimpleCharStream: Get token end column number.
getEndColumn() - Method in class emolib.tokenizer.lexer.spanish.SimpleCharStream: Get token end column number.
getEndLine() - Method in class emolib.tokenizer.lexer.english.SimpleCharStream: Get token end line number.
getEndLine() - Method in class emolib.tokenizer.lexer.spanish.SimpleCharStream: Get token end line number.
getFeatures(String) - Method in class emolib.util.eval.CorpusVocabularyStatistics: Function to extract the features from the given text.
getFirstDimentions(String) - Method in class emolib.eks.anlw.DictionaryANLW: Retrieves the first emotional dimentions for this stem.
getFloat(String, float) - Method in interface emolib.util.conf.PropertySheet: Gets the value associated with this name
getHits(String) - Method in class emolib.wsd.simlib.IndexBroker: Returns the list of documents that fulfill the given query.
getHits(String) - Method in class emolib.wsd.simlib.SimilarityAssessor: Returns the list of documents that fulfill the given query.
GetImage() - Method in class emolib.tokenizer.lexer.english.SimpleCharStream: Get token literal value.
GetImage() - Method in class emolib.tokenizer.lexer.spanish.SimpleCharStream: Get token literal value.
getInstance() - Method in class emolib.wsd.simlib.IndexBroker: Static method that allows other objects to aquire a reference to an existing broker.
getInstance(String) - Method in class emolib.wsd.simlib.IndexBroker: Modified: 1-Feb-2009 By: atrilla
getInstanceNames(Class) - Method in class emolib.util.conf.ConfigurationManager: Gets all instances that are of the given type or are assignable to that type.
getInt(String, int) - Method in interface emolib.util.conf.PropertySheet: Gets the value associated with this name
getLanguage() - Method in class emolib.AffectiveTagger: Function that returns the language of the AffectiveTagger.
getLeftTerm() - Method in class emolib.classifier.machinelearning.ARNReduced.GraphElement: Method to get the left term of this link.
getLikelihood(float) - Method in interface emolib.classifier.machinelearning.density.ClassConditionalDensity: The likelihood probabitity given a feature vector.
getLikelihood(float) - Method in class emolib.classifier.machinelearning.density.Gaussian
getLikelihoodActivations() - Method in class emolib.classifier.machinelearning.NaiveBayes: Function to retrieve the likelihood distributions for activation from this NB.
getLikelihoodControls() - Method in class emolib.classifier.machinelearning.NaiveBayes: Function to retrieve the likelihood distributions for control from this NB.
getLikelihoodValences() - Method in class emolib.classifier.machinelearning.NaiveBayes: Function to retrieve the likelihood distributions for valence from this NB.
getLine() - Method in class emolib.tokenizer.lexer.english.SimpleCharStream: Deprecated.
getLine() - Method in class emolib.tokenizer.lexer.spanish.SimpleCharStream: Deprecated.
getLinkTermFrequency(String, String) - Method in class emolib.classifier.machinelearning.ARNReduced.Graph: Function to retrieve the term frequency of a given link.
getListOfExampleCategories() - Method in class emolib.classifier.Classifier: Retrieves the list of training example categories.
getListOfExampleFeatures() - Method in class emolib.classifier.Classifier: Retrieves the list of training example features.
getListOfNodes() - Method in class emolib.classifier.machinelearning.ARNReduced.Graph: Function to retrieve the number of nodes (ie words) of this graph.
getLogger() - Method in interface emolib.util.conf.PropertySheet: Returns a logger to use for this configurable component.
getMean() - Method in class emolib.classifier.machinelearning.density.Gaussian: Function to retrieve the mean of this distribution.
getMeanSubtractedVector(int) - Method in class emolib.classifier.machinelearning.Logistic.VectorStatistics: Function to get a mean-subtracted vector example.
getMessage() - Method in exception emolib.tokenizer.lexer.english.ParseException: This method has the standard behavior when this object has been created using the standard constructors.
getMessage() - Method in error emolib.tokenizer.lexer.english.TokenMgrError: You can also modify the body of this method to customize your error messages.
getMessage() - Method in exception emolib.tokenizer.lexer.spanish.ParseException: This method has the standard behavior when this object has been created using the standard constructors.
getMessage() - Method in error emolib.tokenizer.lexer.spanish.TokenMgrError: You can also modify the body of this method to customize your error messages.
getModifierValue() - Method in class emolib.util.proc.WordData: Function to retrieve the modifier value.
getMsg() - Method in exception emolib.util.conf.PropertyException
getName() - Method in interface emolib.util.conf.Configurable: Retrieves the name for this configurable component
getName() - Method in interface emolib.util.proc.DataProcessor: Returns the name of this DataProcessor.
getName() - Method in class emolib.util.proc.TextDataProcessor
getNames() - Method in interface emolib.util.conf.PropertySheet: Retrieves the names of all the properties currently defined for this property sheet
getNegation() - Method in class emolib.classifier.FeatureBox: Function to retrieve the negation.
getNew(String) - Method in class emolib.tokenizer.lexer.english.EnglishLexer
getNew(String) - Method in class emolib.tokenizer.lexer.spanish.SpanishLexer
getNew(String) - Method in class emolib.tokenizer.Tokenizer: Function to obtain a new initialized instance of the Tokenizer.
getNextToken() - Method in class emolib.tokenizer.lexer.english.EnglishLexer: Get the next Token.
getNextToken() - Method in class emolib.tokenizer.lexer.english.EnglishLexerTokenManager: Get the next Token.
getNextToken() - Method in class emolib.tokenizer.lexer.spanish.SpanishLexer: Get the next Token.
getNextToken() - Method in class emolib.tokenizer.lexer.spanish.SpanishLexerTokenManager: Get the next Token.
getNodeTermFrequency(String) - Method in class emolib.classifier.machinelearning.ARNReduced.Graph: Function to retrieve the term frequency of a given node.
getNumberOfElements() - Method in class emolib.classifier.machinelearning.ARNReduced.Graph: Function to retrieve the number of elements of this graph.
getNumberOfEmotionalDimensions() - Method in class emolib.classifier.FeatureBox: Function to retrieve the number of emotional dimensions that this FeatureBox object contains.
getNumberOfParagraph() - Method in class emolib.util.proc.WordData: Retrieves the number of paragraph.
getNumberOfParagraphs() - Method in class emolib.util.proc.TextData: Retrieves the number of paragraphs.
getNumberOfSentence() - Method in class emolib.util.proc.WordData: Retrieves the number of sentence.
getNumberOfSentences() - Method in class emolib.util.proc.ParagraphData: Retrieves the number of sentences.
getNumberOfWords() - Method in class emolib.util.proc.SentenceData: Retrieves the number of words.
getNumberOfWords() - Method in class emolib.util.proc.TextData: Retrieves the size of the structure (the number of words).
getOrderedList(String, ArrayList<String>, ArrayList<Integer>) - Method in class emolib.classifier.machinelearning.ARNReduced: Function to retrieve a sorted list (in frequency descending order) of words.
getOrderedTupleList(String, ArrayList<String>, ArrayList<Integer>) - Method in class emolib.classifier.machinelearning.ARNReduced: Function to retrieve a sorted list (in frequency descending order) of tuples.
getParagraphData(int) - Method in class emolib.util.proc.TextData: Gets the ParagraphData object from the text struct.
getPossibleEmotionalContent() - Method in class emolib.tokenizer.Tokenizer: Function to retrieve the possible word emotional content of this Tokenizer.
getPOSTags() - Method in class emolib.classifier.FeatureBox: Function to retrieve the POS tags.
getPosteriorProbability(String, FeatureBox) - Method in class emolib.classifier.machinelearning.NaiveBayes: Open function to retrieve the posterior probabilities of having a single class given a bunch of features.
getPredecessor() - Method in interface emolib.util.proc.DataProcessor: Returns the predecessor DataProcessor.
getPredecessor() - Method in class emolib.util.proc.TextDataProcessor
getProperty() - Method in exception emolib.util.conf.PropertyException: Retrieves the name of the offending property
getPropertyManager() - Method in interface emolib.util.conf.PropertySheet: Gets the owning property manager
getPropertySheet(String) - Method in class emolib.util.conf.ConfigurationManager: Returns the property sheet for the given object instance
getRaw(String) - Method in interface emolib.util.conf.PropertySheet: Gets the raw value associated with this name
getRawNoReplacment(String) - Method in interface emolib.util.conf.PropertySheet: Gets the raw value associated with this name, no global symbol replacement is performed.
getRegistry(String) - Method in class emolib.util.conf.ConfigurationManager: Returns the registry for the given object instance
getResource(String) - Method in interface emolib.util.conf.PropertySheet: Gets a resource associated with the given parameter name
getRightTerm() - Method in class emolib.classifier.machinelearning.ARNReduced.GraphElement: Method to get the right term of this link.
getRisk(FeatureBox, ArrayList<Float>) - Method in class emolib.classifier.machinelearning.RiskWeightedNaiveBayes: Function to retrieve the risk associated to deciding on a class 'c'.
getSampleMean(int) - Method in class emolib.classifier.machinelearning.Logistic.VectorStatistics: Function to compute the sample mean of the given dimension.
getSense() - Method in class emolib.util.proc.WordData: Function to retrieve the sense of the word.
getSenseSimilarity(String, int, String, int) - Method in class emolib.wsd.simlib.SimilarityAssessor: Calculates the similarity between two specific senses.
getSentenceData(int) - Method in class emolib.util.proc.ParagraphData: Gets the SentenceData object from the paragraph struct.
getSimilarity(FeatureBox, String) - Method in class emolib.classifier.machinelearning.ARNReduced: Function to retrieve the similarity of a given text with a given category.
getSimilarity(String, String) - Method in class emolib.wsd.simlib.SimilarityAssessor: Calculates the similarity between the two words, given as parameters, according to the referenced paper.
getSource() - Method in exception emolib.util.conf.PropertyException
getStandardisedVector(int) - Method in class emolib.classifier.machinelearning.Logistic.VectorStatistics: Function to get a standardised vector example.
getStemKey() - Method in class emolib.eks.anlw.DimentionsANLW: Gets the stem of the object.
getStemmedSynonyms() - Method in class emolib.classifier.FeatureBox: Function to retrieve the stemmed synonyms of the words.
getStemmedWordSense() - Method in class emolib.util.proc.WordData: Function to retrieve the sense of the word.
getStems() - Method in class emolib.classifier.FeatureBox: Function to retrieve the stems of the words.
getString(String, String) - Method in interface emolib.util.conf.PropertySheet: Gets the value associated with this name
getStrings(String) - Method in interface emolib.util.conf.PropertySheet: Gets the list of strings associated with this name
GetSuffix(int) - Method in class emolib.tokenizer.lexer.english.SimpleCharStream: Get the suffix.
GetSuffix(int) - Method in class emolib.tokenizer.lexer.spanish.SimpleCharStream: Get the suffix.
getSynonyms() - Method in class emolib.classifier.FeatureBox: Function to retrieve the synonyms of the words.
getTabSize(int) - Method in class emolib.tokenizer.lexer.english.SimpleCharStream
getTabSize(int) - Method in class emolib.tokenizer.lexer.spanish.SimpleCharStream
getTerm() - Method in class emolib.classifier.machinelearning.ARNReduced.GraphElement: Method to get the term of this node.
getTermFrequency() - Method in class emolib.classifier.machinelearning.ARNReduced.GraphElement: Function to retrieve the number of counts.
getTerse() - Method in class emolib.util.SphinxLogFormatter: Retrieves the level of output
getText() - Method in class emolib.classifier.FeatureBox: Function to retrieve the text.
getText() - Method in class emolib.util.proc.TextData: Retrieves the textWords from the TextData object.
getToken(int) - Method in class emolib.tokenizer.lexer.english.EnglishLexer: Get the specific Token.
getToken(int) - Method in class emolib.tokenizer.lexer.spanish.SpanishLexer: Get the specific Token.
getTotalSumTF() - Method in class emolib.classifier.machinelearning.ARNReduced.Graph: Function to retrieve the total sum of term frequencies in this structure.
getTypeOfLikelihoodDistribution() - Method in class emolib.classifier.machinelearning.NaiveBayes: Method to get the type of class-conditional densities.
getUtilityMeasure() - Method in class emolib.classifier.machinelearning.ARNReduced.GraphElement: Function to retrieve the utility measure.
getValence() - Method in class emolib.classifier.FeatureBox: Function to retrieve the valence value of this FeatureBox.
getValence() - Method in class emolib.eks.anlw.DimentionsANLW: Gets the valence of the object.
getValue() - Method in class emolib.tokenizer.lexer.english.Token: An optional attribute value of the Token.
getValue() - Method in class emolib.tokenizer.lexer.spanish.Token: An optional attribute value of the Token.
getVariances() - Method in class emolib.classifier.machinelearning.Logistic.VectorStatistics: Function to retrieve the variances.
getVocabularyGraph() - Method in class emolib.classifier.machinelearning.ARNReduced: Function to recover the full vocabulary graph.
getVocabularySize(int, String) - Method in class emolib.classifier.machinelearning.ARNReduced: Function to retrieve the number of terms (vocabulary size, words alone) which frequency is greater than the given threshold, wrt a given category.
getWeighedMeasure() - Method in class emolib.classifier.machinelearning.ARNReduced.GraphElement: Function to retrieve the weighed measure.
getWord() - Method in class emolib.tokenizer.Tokenizer: Function to retrieve the words of this Tokenizer.
getWord() - Method in class emolib.util.proc.WordData: Gets the word of the object.
getWordClass() - Method in class emolib.tokenizer.Tokenizer: Function to retrieve the word-classes of this Tokenizer.
getWordClass() - Method in class emolib.util.proc.WordData: Gets the word-class of the object.
getWordData(int) - Method in class emolib.util.proc.SentenceData: Gets the WordData object from the sentence struct.
getWordData(int) - Method in class emolib.util.proc.TextData: Retrieves the specified WordData object.
getWordModifierValue() - Method in class emolib.tokenizer.Tokenizer: Function to retrieve the list of word modifier values.
getWordPOS() - Method in class emolib.util.proc.WordData: Retrieves the Part-Of-Speech of the word.
getWords() - Method in class emolib.classifier.FeatureBox: Function to retrieve the words.
getWordsAsArrayOfStrings() - Method in class emolib.util.proc.TextData: Retrieves all the words as an array of strings.
getWordsField() - Method in class emolib.wsd.simlib.SimilarityAssessor: Function to retrieve the WORDS field from the broker.
getWordStem() - Method in class emolib.util.proc.WordData: Retrieves the stem of the word.

H

hasEmotionalContent() - Method in class emolib.util.proc.ParagraphData: Retrieves the emotional content of the paragraph.
hasEmotionalContent() - Method in class emolib.util.proc.SentenceData: Retrieves the emotional content of the sentence.
hasEmotionalContent() - Method in class emolib.util.proc.TextData: Retrieves the emotional content of the document.
hasEmotionalContent() - Method in class emolib.util.proc.WordData: Retrieves the emotional content of the word.
hashCode() - Method in class emolib.stemmer.snowball.ext.englishStemmer
hashCode() - Method in class emolib.stemmer.snowball.ext.spanishStemmer
HierarchicalARNReduced - Class in emolib.classifier.machinelearning: The HierarchicalARNReduced is an ensemble of Reduced Associative Relational Networks considering the hierarchy of affect.
HierarchicalARNReduced() - Constructor for class emolib.classifier.machinelearning.HierarchicalARNReduced: Main constructor of this classifier.
HYPERNYM - Static variable in class emolib.wsd.simlib.IndexBroker: A static constant that represents the field name that holds the list of hypernym offsets of each document.

I

image - Variable in class emolib.tokenizer.lexer.english.Token: The string image of the token.
image - Variable in class emolib.tokenizer.lexer.spanish.Token: The string image of the token.
in_grouping(char[], int, int) - Method in class emolib.stemmer.snowball.SnowballProgram
in_grouping_b(char[], int, int) - Method in class emolib.stemmer.snowball.SnowballProgram
in_range(int, int) - Method in class emolib.stemmer.snowball.SnowballProgram
in_range_b(int, int) - Method in class emolib.stemmer.snowball.SnowballProgram
inBuf - Variable in class emolib.tokenizer.lexer.english.SimpleCharStream
inBuf - Variable in class emolib.tokenizer.lexer.spanish.SimpleCharStream
INDEFINIDO_CUANTITATIVO - Static variable in interface emolib.tokenizer.lexer.english.EnglishLexerConstants: RegularExpression Id.
INDEFINIDO_CUANTITATIVO - Static variable in interface emolib.tokenizer.lexer.spanish.SpanishLexerConstants: RegularExpression Id.
INDEFINIDO_DISTRIBUTIVO - Static variable in interface emolib.tokenizer.lexer.english.EnglishLexerConstants: RegularExpression Id.
INDEFINIDO_DISTRIBUTIVO - Static variable in interface emolib.tokenizer.lexer.spanish.SpanishLexerConstants: RegularExpression Id.
IndentationFormatter - Class in emolib.util: The IndentationFormatter class performs a check-and-correct process of the indentation of the source files compiled in the input file.
IndentationFormatter() - Constructor for class emolib.util.IndentationFormatter: Void constructor.
IndexBroker - Class in emolib.wsd.simlib: Title: Java WordNet Similarity
IndexBroker() - Constructor for class emolib.wsd.simlib.IndexBroker: The Constructor.
IndexBroker(String) - Constructor for class emolib.wsd.simlib.IndexBroker: Modified: 1-Feb-2009 By: atrilla
indexOf(String, String[]) - Method in class emolib.classifier.eval.KFoldXValidation: Function to get the index of a query in an array of strings.
INFORMATION_CONTENT - Static variable in class emolib.wsd.simlib.IndexBroker: A static constant that represents the field name that holds the information Content value of each document.
initialize() - Method in class emolib.AffectiveTagger
initialize() - Method in class emolib.classifier.Classifier: Method to initialize the Classifier.
initialize() - Method in class emolib.classifier.machinelearning.ARNReduced: Method to initialize the Classifier.
initialize() - Method in class emolib.classifier.machinelearning.HierarchicalARNReduced: Method to initialize the Classifier.
initialize() - Method in class emolib.classifier.machinelearning.NaiveBayes: Method to initialize the Classifier.
initialize() - Method in class emolib.classifier.machinelearning.NearestCentroid: Method to initialize the Classifier.
initialize() - Method in class emolib.classifier.machinelearning.RiskWeightedNaiveBayes: Method to initialize the Classifier.
initialize() - Method in class emolib.eks.anlw.EmotionalKeywordSpotterANLW: Method to initialize the EmotionalKeywordSpotterANLW.
initialize() - Method in class emolib.eks.EmotionalKeywordSpotter: Method to initialize the Stemmer.
initialize() - Method in class emolib.formatter.AffectiveFormatter: Method to initialize the AffectiveFormatter.
initialize() - Method in class emolib.formatter.xml.XMLFormatter: Method to initialize the XMLFormatter.
initialize() - Method in class emolib.pos.POSTagger: Method to initialize the POSTagger.
initialize() - Method in class emolib.pos.qtag.SpanishQTag: Method to initialize the SpanishQTag.
initialize() - Method in class emolib.pos.stanford.EnglishStanford: Method to initialize the SpanishQTag.
initialize() - Method in class emolib.splitter.bdt.SentenceSplitterBDT: Method to initialize the SentenceSplitterBDT.
initialize() - Method in class emolib.splitter.SentenceSplitter: Method to initialize the SentenceSplitter.
initialize() - Method in class emolib.statistic.average.ArithmeticMean: Method to initialize the ArithmeticMean.
initialize() - Method in class emolib.statistic.Statistic: Method to initialize the Statistic.
initialize() - Method in class emolib.stemmer.snowball.GenericSnowballStemmer: Method to initialize the GenericSnowballStemmer.
initialize() - Method in class emolib.stemmer.Stemmer: Method to initialize the Stemmer.
initialize() - Method in class emolib.tokenizer.Tokenizer: Method to initialize the Tokenizer.
initialize(String) - Method in class emolib.util.eval.ConfusionMatrixCalculator: Method to initialize the confusion matrix.
initialize() - Method in class emolib.util.eval.semeval.SemevalCorpusCategorizerNN: Method to initialize the confusion matrix.
initialize() - Method in class emolib.util.printer.Printer: Method to initialize the Printer.
initialize() - Method in interface emolib.util.proc.DataProcessor: Initializes this DataProcessor.
initialize() - Method in class emolib.util.proc.TextDataProcessor
initialize() - Method in class emolib.wsd.openthes.OpenThesWSD: Method to initialize the OpenThesWSD.
initialize() - Method in class emolib.wsd.simlib.SimLibWSD: Method to initialize the SimLibWSD.
initialize() - Method in class emolib.wsd.WordSenseDisambiguator: Method to initialize the WordSenseDisambiguator.
input_stream - Variable in class emolib.tokenizer.lexer.english.EnglishLexerTokenManager
input_stream - Variable in class emolib.tokenizer.lexer.spanish.SpanishLexerTokenManager
inputData(String) - Method in class emolib.AffectiveTagger: Function to input and process data.
inputData(String) - Method in class emolib.tokenizer.Tokenizer: Mehtod to input text data into the system.
inputFixedInstance(String) - Method in class emolib.classifier.eval.KFoldXValidation: Method to include a new fixed instance.
inputInstance(String) - Method in class emolib.classifier.eval.KFoldXValidation: Mehtod to include a new input corpus instance into the system.
inputStream - Variable in class emolib.tokenizer.lexer.english.SimpleCharStream
inputStream - Variable in class emolib.tokenizer.lexer.spanish.SimpleCharStream
inputTrainingExample(FeatureBox, String) - Method in class emolib.classifier.Classifier: Mehtod to input training data into the classifier.
inputVector(double[]) - Method in class emolib.classifier.machinelearning.Logistic.VectorStatistics: Method to intput a vector.
insert(int, int, String) - Method in class emolib.stemmer.snowball.SnowballProgram
insert(int, int, CharSequence) - Method in class emolib.stemmer.snowball.SnowballProgram
INT - Static variable in class emolib.util.conf.PropertyType: An integer type
INTERROGATIVA - Static variable in interface emolib.tokenizer.lexer.english.EnglishLexerConstants: RegularExpression Id.
INTERROGATIVA - Static variable in interface emolib.tokenizer.lexer.spanish.SpanishLexerConstants: RegularExpression Id.
isAdjective() - Method in class emolib.util.proc.WordData: Function to check if this word is an adjective.
isAdverb() - Method in class emolib.util.proc.WordData: Function to check if this word is an adverb.
isCepstraFileBigEndian(String) - Static method in class emolib.util.Utilities: Returns true if the given binary cepstra file is in big-endian format.
isLink() - Method in class emolib.classifier.machinelearning.ARNReduced.GraphElement: Function to see if this graph element is a link.
isModifier() - Method in class emolib.util.proc.WordData: Function to check if this word is a modifier.
isNegationAdverb() - Method in class emolib.util.proc.WordData: Function to check if this word is a negation adverb.
isNode() - Method in class emolib.classifier.machinelearning.ARNReduced.GraphElement: Function to see if this graph element is a node.
isNoun() - Method in class emolib.util.proc.WordData: Function to check if this word is a noun.
isProducedByAdjective(String) - Method in class emolib.eks.anlw.DictionaryANLW: Checks if the the key has been produced by an adjective.
isProducedByNoun(String) - Method in class emolib.eks.anlw.DictionaryANLW: Checks if the the key has been produced by a noun.
isProducedByVerb(String) - Method in class emolib.eks.anlw.DictionaryANLW: Checks if the the key has been produced by a verb.
isVerb() - Method in class emolib.util.proc.WordData: Function to check if this word is a verb.

J

jj_nt - Variable in class emolib.tokenizer.lexer.english.EnglishLexer: Next token.
jj_nt - Variable in class emolib.tokenizer.lexer.spanish.SpanishLexer: Next token.
jjFillToken() - Method in class emolib.tokenizer.lexer.english.EnglishLexerTokenManager
jjFillToken() - Method in class emolib.tokenizer.lexer.spanish.SpanishLexerTokenManager
jjstrLiteralImages - Static variable in class emolib.tokenizer.lexer.english.EnglishLexerTokenManager: Token literal values.
jjstrLiteralImages - Static variable in class emolib.tokenizer.lexer.spanish.SpanishLexerTokenManager: Token literal values.

K

ket - Variable in class emolib.stemmer.snowball.SnowballProgram
KFoldXValidation - Class in emolib.classifier.eval: The KFoldXValidation class performs the k-fold cross-validation method on the stratified input data file.
KFoldXValidation() - Constructor for class emolib.classifier.eval.KFoldXValidation: Void constructor.
kind - Variable in class emolib.tokenizer.lexer.english.Token: An integer that describes the kind of this token.
kind - Variable in class emolib.tokenizer.lexer.spanish.Token: An integer that describes the kind of this token.
KNearestNeighbour - Class in emolib.classifier.machinelearning: The KNearestNeighbour is an example-based classifier that uses the k-Nearest Neighbour method.
KNearestNeighbour() - Constructor for class emolib.classifier.machinelearning.KNearestNeighbour: Main constructor of this example-based classifier.

L

LETRA - Static variable in interface emolib.tokenizer.lexer.english.EnglishLexerConstants: RegularExpression Id.
LETRA - Static variable in interface emolib.tokenizer.lexer.spanish.SpanishLexerConstants: RegularExpression Id.
LexicalError(boolean, int, int, int, String, char) - Static method in error emolib.tokenizer.lexer.english.TokenMgrError: Returns a detailed message for the Error when it is thrown by the token manager to indicate a lexical error.
LexicalError(boolean, int, int, int, String, char) - Static method in error emolib.tokenizer.lexer.spanish.TokenMgrError: Returns a detailed message for the Error when it is thrown by the token manager to indicate a lexical error.
lexStateNames - Static variable in class emolib.tokenizer.lexer.english.EnglishLexerTokenManager: Lexer state names.
lexStateNames - Static variable in class emolib.tokenizer.lexer.spanish.SpanishLexerTokenManager: Lexer state names.
limit - Variable in class emolib.stemmer.snowball.SnowballProgram
limit_backward - Variable in class emolib.stemmer.snowball.SnowballProgram
line - Variable in class emolib.tokenizer.lexer.english.SimpleCharStream
line - Variable in class emolib.tokenizer.lexer.spanish.SimpleCharStream
load(String) - Method in class emolib.classifier.Classifier: Generic function to load a previously saved classifier.
load(String) - Method in class emolib.classifier.heuristic.FiveIntervalsKE
load(String) - Method in class emolib.classifier.heuristic.ThreeIntervalsKE
load(String) - Method in class emolib.classifier.machinelearning.ARNReduced
load(String) - Method in class emolib.classifier.machinelearning.BernoulliNB
load(String) - Method in class emolib.classifier.machinelearning.HierarchicalARNReduced
load(String) - Method in class emolib.classifier.machinelearning.KNearestNeighbour
load(String) - Method in class emolib.classifier.machinelearning.Logistic
load(String) - Method in class emolib.classifier.machinelearning.LSA
load(String) - Method in class emolib.classifier.machinelearning.MultinomialNB
load(String) - Method in class emolib.classifier.machinelearning.NaiveBayes
load(String) - Method in class emolib.classifier.machinelearning.NearestCentroid
load(String) - Method in class emolib.classifier.machinelearning.OrdinalLogReg
load(String) - Method in class emolib.classifier.machinelearning.RiskLogReg
load(String) - Method in class emolib.classifier.machinelearning.RiskWeightedNaiveBayes
load(String) - Method in class emolib.classifier.machinelearning.SupportVectorMachine
load(String) - Method in class emolib.classifier.machinelearning.WekaMultinomialNB
Logistic - Class in emolib.classifier.machinelearning: The Logistic class is a Multinomial Logistic Regression (MLR) classifier.
Logistic() - Constructor for class emolib.classifier.machinelearning.Logistic: Main constructor of this logistic regression classifier.
Logistic.VectorStatistics - Class in emolib.classifier.machinelearning: Inner class to compute vector statistics.
Logistic.VectorStatistics() - Constructor for class emolib.classifier.machinelearning.Logistic.VectorStatistics: Plain constructor.
lookup(String) - Method in class emolib.util.conf.ConfigurationManager: Looks up a configurable component by name.
LSA - Class in emolib.classifier.machinelearning: The LSA class is a Latent Semantic Analysis classifier.
LSA() - Constructor for class emolib.classifier.machinelearning.LSA: Main constructor of this LSA classifier.

M

main(String[]) - Static method in class emolib.classifier.eval.KFoldXValidation: The main method of the KFoldXValidation application.
main(String[]) - Static method in class emolib.classifier.machinelearning.Logistic: Main method to test the LR classifier.
main(String[]) - Static method in class emolib.classifier.machinelearning.NearestCentroid: Main method to train the NearestCentroid classifier.
main(String[]) - Static method in class emolib.util.eval.ConfusionMatrixCalculator: The main method of the ConfusionMatrixCalculator application.
main(String[]) - Static method in class emolib.util.eval.CorpusVocabularyStatistics
main(String[]) - Static method in class emolib.util.eval.CreateTextClassData
main(String[]) - Static method in class emolib.util.eval.ExampleTextFile
main(String[]) - Static method in class emolib.util.eval.semeval.ExtractCoincidences: The main method of the ExtractCoincidences application.
main(String[]) - Static method in class emolib.util.eval.semeval.SemevalCorpusCategorizerNN: The main method of the SemevalCorpusCategorizerNN application.
main(String[]) - Static method in class emolib.util.IndentationFormatter
maxNextCharInd - Variable in class emolib.tokenizer.lexer.english.SimpleCharStream
maxNextCharInd - Variable in class emolib.tokenizer.lexer.spanish.SimpleCharStream
method - Variable in class emolib.stemmer.snowball.Among
methodobject - Variable in class emolib.stemmer.snowball.Among
MultinomialNB - Class in emolib.classifier.machinelearning: The MultinomialNB class is a Multinomial Naive Bayes (MNB) classifier.
MultinomialNB() - Constructor for class emolib.classifier.machinelearning.MultinomialNB: Main constructor of this exponential regression classifier.

N

NaiveBayes - Class in emolib.classifier.machinelearning: The NaiveBayes is a Bayesian classifier operating in the circumplex.
NaiveBayes() - Constructor for class emolib.classifier.machinelearning.NaiveBayes: Main constructor of this classifier.
NearestCentroid - Class in emolib.classifier.machinelearning: The NearestCentroid is a Rocchio classifier operating in the circumplex.
NearestCentroid() - Constructor for class emolib.classifier.machinelearning.NearestCentroid: Main constructor of this classifier.
negation - Variable in class emolib.tokenizer.Tokenizer
negativeModifier1 - Variable in class emolib.tokenizer.Tokenizer
negativeModifier2 - Variable in class emolib.tokenizer.Tokenizer
negativeModifier3 - Variable in class emolib.tokenizer.Tokenizer
newProperties(PropertySheet) - Method in class emolib.AffectiveTagger
newProperties(PropertySheet) - Method in class emolib.classifier.Classifier
newProperties(PropertySheet) - Method in class emolib.classifier.machinelearning.ARNReduced
newProperties(PropertySheet) - Method in class emolib.classifier.machinelearning.HierarchicalARNReduced
newProperties(PropertySheet) - Method in class emolib.classifier.machinelearning.KNearestNeighbour
newProperties(PropertySheet) - Method in class emolib.classifier.machinelearning.NaiveBayes
newProperties(PropertySheet) - Method in class emolib.classifier.machinelearning.NearestCentroid
newProperties(PropertySheet) - Method in class emolib.classifier.machinelearning.RiskWeightedNaiveBayes
newProperties(PropertySheet) - Method in class emolib.eks.anlw.EmotionalKeywordSpotterANLW
newProperties(PropertySheet) - Method in class emolib.eks.EmotionalKeywordSpotter
newProperties(PropertySheet) - Method in class emolib.formatter.AffectiveFormatter
newProperties(PropertySheet) - Method in class emolib.formatter.xml.XMLFormatter
newProperties(PropertySheet) - Method in class emolib.pos.POSTagger
newProperties(PropertySheet) - Method in class emolib.pos.qtag.SpanishQTag
newProperties(PropertySheet) - Method in class emolib.pos.stanford.EnglishStanford
newProperties(PropertySheet) - Method in class emolib.splitter.bdt.SentenceSplitterBDT
newProperties(PropertySheet) - Method in class emolib.splitter.SentenceSplitter
newProperties(PropertySheet) - Method in class emolib.statistic.average.ArithmeticMean
newProperties(PropertySheet) - Method in class emolib.statistic.Statistic
newProperties(PropertySheet) - Method in class emolib.stemmer.snowball.GenericSnowballStemmer
newProperties(PropertySheet) - Method in class emolib.stemmer.Stemmer
newProperties(PropertySheet) - Method in class emolib.tokenizer.Tokenizer
newProperties(PropertySheet) - Method in interface emolib.util.conf.Configurable: This method is called when this configurable component has new data.
newProperties(PropertySheet) - Method in class emolib.util.printer.Printer
newProperties(PropertySheet) - Method in class emolib.util.proc.TextDataProcessor
newProperties(PropertySheet) - Method in class emolib.wsd.openthes.OpenThesWSD
newProperties(PropertySheet) - Method in class emolib.wsd.simlib.SimLibWSD
newProperties(PropertySheet) - Method in class emolib.wsd.WordSenseDisambiguator
newToken(int, String) - Static method in class emolib.tokenizer.lexer.english.Token: Returns a new Token object, by default.
newToken(int) - Static method in class emolib.tokenizer.lexer.english.Token
newToken(int, String) - Static method in class emolib.tokenizer.lexer.spanish.Token: Returns a new Token object, by default.
newToken(int) - Static method in class emolib.tokenizer.lexer.spanish.Token
next - Variable in class emolib.tokenizer.lexer.english.Token: A reference to the next regular (non-special) token from the input stream.
next - Variable in class emolib.tokenizer.lexer.spanish.Token: A reference to the next regular (non-special) token from the input stream.
NUMERAL - Static variable in interface emolib.tokenizer.lexer.english.EnglishLexerConstants: RegularExpression Id.
NUMERAL - Static variable in interface emolib.tokenizer.lexer.spanish.SpanishLexerConstants: RegularExpression Id.

O

objectTracker(String, int) - Static method in class emolib.util.Utilities: utility method for tracking object counts
OpenThesWSD - Class in emolib.wsd.openthes: The OpenThesWSD class performs the Word Sense Disambiguation (WSD) process using the OpenThesaurus thesaurus.
OpenThesWSD() - Constructor for class emolib.wsd.openthes.OpenThesWSD: Main constructor of the OpenThesWSD.
OrdinalLogReg - Class in emolib.classifier.machinelearning: The OrdinalLogReg class is an Ordinal Logistic Regression classifier.
OrdinalLogReg() - Constructor for class emolib.classifier.machinelearning.OrdinalLogReg: Main constructor of this logistic regression classifier.
OTRO - Static variable in interface emolib.tokenizer.lexer.english.EnglishLexerConstants: RegularExpression Id.
OTRO - Static variable in interface emolib.tokenizer.lexer.spanish.SpanishLexerConstants: RegularExpression Id.
out_grouping(char[], int, int) - Method in class emolib.stemmer.snowball.SnowballProgram
out_grouping_b(char[], int, int) - Method in class emolib.stemmer.snowball.SnowballProgram
out_range(int, int) - Method in class emolib.stemmer.snowball.SnowballProgram
out_range_b(int, int) - Method in class emolib.stemmer.snowball.SnowballProgram
outputData() - Method in class emolib.AffectiveTagger: Method to issue the Tagger to output the results.
outputData(File) - Method in class emolib.AffectiveTagger: Method to issue the Tagger to output the results into a determined file.
outputData() - Method in class emolib.formatter.AffectiveFormatter: Method to produce the results obtained from the text processing pipeline into a file.
outputData(File) - Method in class emolib.formatter.AffectiveFormatter: Method to produce the results obtained from the text processing pipeline into a determined file.
outputData() - Method in class emolib.formatter.xml.XMLFormatter: Method to produce the results obtained from the text processing pipeline.
outputData(File) - Method in class emolib.formatter.xml.XMLFormatter: Method to produce the results obtained from the text processing pipeline.

P

pad(int) - Static method in class emolib.util.Utilities: Returns a string with the given number of spaces.
pad(String, int) - Static method in class emolib.util.Utilities: Pads with spaces or truncates the given string to guarantee that it is exactly the desired length.
pad(int, int) - Static method in class emolib.util.Utilities: Pads with spaces or truncates the given int to guarantee that it is exactly the desired length.
pad(double, int) - Static method in class emolib.util.Utilities: Pads with spaces or truncates the given double to guarantee that it is exactly the desired length.
ParagraphData - Class in emolib.util.proc: The ParagraphData class is a Data construct that holds information at paragraph-level.
ParagraphData() - Constructor for class emolib.util.proc.ParagraphData: Constructs an empty ParagraphData object.
parseEnglishGrammar() - Method in class emolib.tokenizer.lexer.english.EnglishLexer
ParseException - Exception in emolib.tokenizer.lexer.english: This exception is thrown when parse errors are encountered.
ParseException(Token, int[][], String[]) - Constructor for exception emolib.tokenizer.lexer.english.ParseException: This constructor is used by the method "generateParseException" in the generated parser.
ParseException() - Constructor for exception emolib.tokenizer.lexer.english.ParseException: The following constructors are for use by you for whatever purpose you can think of.
ParseException(String) - Constructor for exception emolib.tokenizer.lexer.english.ParseException: Constructor with message.
ParseException - Exception in emolib.tokenizer.lexer.spanish: This exception is thrown when parse errors are encountered.
ParseException(Token, int[][], String[]) - Constructor for exception emolib.tokenizer.lexer.spanish.ParseException: This constructor is used by the method "generateParseException" in the generated parser.
ParseException() - Constructor for exception emolib.tokenizer.lexer.spanish.ParseException: The following constructors are for use by you for whatever purpose you can think of.
ParseException(String) - Constructor for exception emolib.tokenizer.lexer.spanish.ParseException: Constructor with message.
parseGrammar() - Method in class emolib.tokenizer.lexer.english.EnglishLexer
parseGrammar() - Method in class emolib.tokenizer.lexer.spanish.SpanishLexer
parseGrammar() - Method in class emolib.tokenizer.Tokenizer: Method to parse the incoming text with the well defined grammar.
parseSpanishGrammar() - Method in class emolib.tokenizer.lexer.spanish.SpanishLexer
POSESIVO_1 - Static variable in interface emolib.tokenizer.lexer.english.EnglishLexerConstants: RegularExpression Id.
POSESIVO_1 - Static variable in interface emolib.tokenizer.lexer.spanish.SpanishLexerConstants: RegularExpression Id.
POSESIVO_2 - Static variable in interface emolib.tokenizer.lexer.english.EnglishLexerConstants: RegularExpression Id.
POSESIVO_2 - Static variable in interface emolib.tokenizer.lexer.spanish.SpanishLexerConstants: RegularExpression Id.
POSESIVO_3 - Static variable in interface emolib.tokenizer.lexer.english.EnglishLexerConstants: RegularExpression Id.
POSESIVO_3 - Static variable in interface emolib.tokenizer.lexer.spanish.SpanishLexerConstants: RegularExpression Id.
positiveModifier1 - Variable in class emolib.tokenizer.Tokenizer
positiveModifier2 - Variable in class emolib.tokenizer.Tokenizer
positiveModifier3 - Variable in class emolib.tokenizer.Tokenizer
POSTagger - Class in emolib.pos: The POSTagger abstract class defines the general structure to perform the Part-Of-Speech (POS) tagging process, which determines the correct function of a word in a sentence.
POSTagger() - Constructor for class emolib.pos.POSTagger: Main constructor of the POSTagger.
PREPOSICION - Static variable in interface emolib.tokenizer.lexer.english.EnglishLexerConstants: RegularExpression Id.
PREPOSICION - Static variable in interface emolib.tokenizer.lexer.spanish.SpanishLexerConstants: RegularExpression Id.
prevCharIsCR - Variable in class emolib.tokenizer.lexer.english.SimpleCharStream
prevCharIsCR - Variable in class emolib.tokenizer.lexer.spanish.SimpleCharStream
prevCharIsLF - Variable in class emolib.tokenizer.lexer.english.SimpleCharStream
prevCharIsLF - Variable in class emolib.tokenizer.lexer.spanish.SimpleCharStream
printConfusionMatrix() - Method in class emolib.util.eval.ConfusionMatrixCalculator: Method to print the resulting confusion matrix.
Printer - Class in emolib.util.printer: The Printer class provides a device to output the content of the data flowing in the processing pipeline.
Printer() - Constructor for class emolib.util.printer.Printer: Main constructor of the Printer.
printSynopsis() - Method in class emolib.classifier.eval.KFoldXValidation: Prints the synopsis.
printSynopsis() - Method in class emolib.classifier.machinelearning.NearestCentroid: Prints the synopsis.
printSynopsis() - Method in class emolib.util.eval.ConfusionMatrixCalculator: Prints the synopsis.
printSynopsis() - Method in class emolib.util.eval.CorpusVocabularyStatistics: Prints the synopsis.
printSynopsis() - Method in class emolib.util.eval.CreateTextClassData: Prints the synopsis.
printSynopsis() - Method in class emolib.util.eval.ExampleTextFile: Prints the synopsis.
printSynopsis() - Method in class emolib.util.eval.semeval.ExtractCoincidences: Prints the synopsis.
printSynopsis() - Method in class emolib.util.eval.semeval.SemevalCorpusCategorizerNN: Prints the synopsis.
printSynopsis() - Method in class emolib.util.IndentationFormatter: Prints the synopsis.
ProcessingService - Class in emolib.util.servlet.en: The ProcessingService is a servlet class that acts as a web interface to perform the emotional tagging of the posted text.
ProcessingService() - Constructor for class emolib.util.servlet.en.ProcessingService: Main constructor of the servlet service.
ProcessingService - Class in emolib.util.servlet.es: The ProcessingService is a servlet class that acts as a web interface to perform the emotional tagging of the posted text in Spanish.
ProcessingService() - Constructor for class emolib.util.servlet.es.ProcessingService: Main constructor of the servlet service.
processText(String) - Method in class emolib.AffectiveTagger: Function to process textual data.
PRONOMBRE_1 - Static variable in interface emolib.tokenizer.lexer.english.EnglishLexerConstants: RegularExpression Id.
PRONOMBRE_1 - Static variable in interface emolib.tokenizer.lexer.spanish.SpanishLexerConstants: RegularExpression Id.
PRONOMBRE_2 - Static variable in interface emolib.tokenizer.lexer.english.EnglishLexerConstants: RegularExpression Id.
PRONOMBRE_2 - Static variable in interface emolib.tokenizer.lexer.spanish.SpanishLexerConstants: RegularExpression Id.
PRONOMBRE_3 - Static variable in interface emolib.tokenizer.lexer.english.EnglishLexerConstants: RegularExpression Id.
PRONOMBRE_3 - Static variable in interface emolib.tokenizer.lexer.spanish.SpanishLexerConstants: RegularExpression Id.
PRONOMBRE_REL - Static variable in interface emolib.tokenizer.lexer.english.EnglishLexerConstants: RegularExpression Id.
PRONOMBRE_REL - Static variable in interface emolib.tokenizer.lexer.spanish.SpanishLexerConstants: RegularExpression Id.
PROP_ANALYZE_ADJECTIVES - Static variable in class emolib.wsd.openthes.OpenThesWSD
PROP_ANALYZE_VERBS - Static variable in class emolib.wsd.openthes.OpenThesWSD
PROP_COMMON_LOG_LEVEL - Static variable in class emolib.util.conf.ConfigurationManager: A common property (used by all components) that sets the log level for the component.
PROP_COMMON_LOG_TERSE - Static variable in class emolib.util.conf.ConfigurationManager: A common property (used by all components) that sets the tersness of the log output
PROP_CONFLATION_WEIGHT - Static variable in class emolib.eks.anlw.EmotionalKeywordSpotterANLW
PROP_DICTIONARY - Static variable in class emolib.eks.anlw.EmotionalKeywordSpotterANLW: The name of the property indicating the location of the ANLW dictionary.
PROP_EMOLIB_PATH - Static variable in class emolib.AffectiveTagger: The name of the property that defines the root path of EmoLib.
PROP_EMOTIONAL_WORDS - Static variable in class emolib.util.printer.Printer
PROP_EXTERNAL_FILE - Static variable in class emolib.classifier.machinelearning.ARNReduced: Property to indicate a pre-trained classifier.
PROP_EXTERNAL_FILE - Static variable in class emolib.classifier.machinelearning.HierarchicalARNReduced: Property to indicate a pre-trained classifier.
PROP_EXTERNAL_FILE - Static variable in class emolib.classifier.machinelearning.NaiveBayes: Property to indicate a pre-trained classifier.
PROP_EXTERNAL_FILE - Static variable in class emolib.classifier.machinelearning.NearestCentroid: Property to indicate a pre-trained classifier.
PROP_EXTERNAL_FILE - Static variable in class emolib.classifier.machinelearning.RiskWeightedNaiveBayes: Property to indicate a pre-trained classifier.
PROP_ITERATIONS - Static variable in class emolib.stemmer.snowball.GenericSnowballStemmer
PROP_LANGUAGE - Static variable in class emolib.AffectiveTagger: The name of the property that defines the language of the system.
PROP_LANGUAGE - Static variable in class emolib.stemmer.snowball.GenericSnowballStemmer: The name of the property indicating the language of this Stemmer.
PROP_MODIFIERS - Static variable in class emolib.util.printer.Printer
PROP_NB_EXTERNAL_FILE - Static variable in class emolib.classifier.machinelearning.RiskWeightedNaiveBayes: Property to indicate a pre-trained Naive Bayes classifier.
PROP_NEGATION - Static variable in class emolib.tokenizer.Tokenizer
PROP_NEGATIVE_MODIFIER_1 - Static variable in class emolib.tokenizer.Tokenizer
PROP_NEGATIVE_MODIFIER_2 - Static variable in class emolib.tokenizer.Tokenizer
PROP_NEGATIVE_MODIFIER_3 - Static variable in class emolib.tokenizer.Tokenizer
PROP_NOUNS - Static variable in class emolib.util.printer.Printer
PROP_NUM_EMO_DIMS - Static variable in class emolib.classifier.machinelearning.KNearestNeighbour: Property to determine the number of emotional dimensions the KNN deals with.
PROP_NUM_EMO_DIMS - Static variable in class emolib.classifier.machinelearning.NaiveBayes: Property to determine the number of emotional dimensions the NaiveBayes deals with.
PROP_NUM_EMO_DIMS - Static variable in class emolib.classifier.machinelearning.NearestCentroid: Property to determine the number of emotional dimensions the NearestCentroid deals with.
PROP_NUM_EMO_DIMS - Static variable in class emolib.classifier.machinelearning.RiskWeightedNaiveBayes: Property to determine the number of emotional dimensions the NaiveBayes deals with.
PROP_NUMBER_WORDS - Static variable in class emolib.util.printer.Printer
PROP_PIPELINE - Static variable in class emolib.AffectiveTagger: The name of the property list of all the components of the AffectiveTagger pipe line.
PROP_POSITIVE_MODIFIER_1 - Static variable in class emolib.tokenizer.Tokenizer
PROP_POSITIVE_MODIFIER_2 - Static variable in class emolib.tokenizer.Tokenizer
PROP_POSITIVE_MODIFIER_3 - Static variable in class emolib.tokenizer.Tokenizer
PROP_PRIORS - Static variable in class emolib.classifier.machinelearning.NaiveBayes: Property to account for prior probabilities.
PROP_RESOURCES_PATH - Static variable in class emolib.pos.qtag.SpanishQTag: The name of the property indicating the location of the lexicon and matrix Spanish files.
PROP_RESOURCES_PATH - Static variable in class emolib.pos.stanford.EnglishStanford: The name of the property indicating the location of the English model.
PROP_SENTENCE_LEVEL - Static variable in class emolib.wsd.openthes.OpenThesWSD: The name of the property indicating the scope of the analysis.
PROP_SHOW_CREATIONS - Static variable in class emolib.util.conf.ConfigurationManager: Sphinx Property that defines whether or not the configuration manager will trace object creations
PROP_SHOW_CREATIONS_DEFAULT - Static variable in class emolib.util.conf.ConfigurationManager: The default value for PROP_SHOW_CREATIONS
PROP_STEMMED_SYNONYMS - Static variable in class emolib.util.printer.Printer
PROP_STEMS - Static variable in class emolib.util.printer.Printer
PROP_SYNONYMS - Static variable in class emolib.util.printer.Printer
PROP_SYNONYMS_WEIGHT - Static variable in class emolib.eks.anlw.EmotionalKeywordSpotterANLW
PROP_THESAURUS_PATH - Static variable in class emolib.wsd.openthes.OpenThesWSD: The name of the property indicating the path of the thesaurus.
PROP_THRESHOLD - Static variable in class emolib.formatter.xml.XMLFormatter
PROP_THRESHOLD - Static variable in class emolib.statistic.average.ArithmeticMean
PROP_USE_ADJECTIVES - Static variable in class emolib.wsd.simlib.SimLibWSD
PROP_USE_NOUNS - Static variable in class emolib.wsd.simlib.SimLibWSD
PROP_USE_VERBS - Static variable in class emolib.wsd.simlib.SimLibWSD
PROP_WNINDEX_PATH - Static variable in class emolib.wsd.simlib.SimLibWSD: The name of the property indicating the path of the WordNet index files needed by the WordNet Similarity library.
PROP_WORD_CLASS - Static variable in class emolib.util.printer.Printer
PROP_WORD_NOT_FOUND - Static variable in class emolib.eks.anlw.EmotionalKeywordSpotterANLW
PROP_WORD_POS - Static variable in class emolib.util.printer.Printer
PROP_XMLRESULTS_PATH - Static variable in class emolib.formatter.xml.XMLFormatter
PropertyException - Exception in emolib.util.conf: Indicates that a problem occurred while setting one or more properties for this component
PropertyException(Configurable, String, String) - Constructor for exception emolib.util.conf.PropertyException: Creates a new property exception
PropertySheet - Interface in emolib.util.conf: A property sheet defines a collection of properties for a single component in the system.
PropertyType - Class in emolib.util.conf: an enum-style type that defines the possible property types.
pruneUtility(int) - Method in class emolib.classifier.machinelearning.ARNReduced.Graph: Prunes the graph by ordering terms wrt their utility and removing the least useful.
putModifierValue(float) - Method in class emolib.tokenizer.Tokenizer: Method to put a modifier value into the queue.
putWord(String) - Method in class emolib.tokenizer.Tokenizer: Method to put a word into the system.
putWordClass(String) - Method in class emolib.tokenizer.Tokenizer: Method to put a word class into the system.
putWordData(WordData) - Method in class emolib.util.proc.TextData: Puts a WordData into the TextData object at the end of the structure.

R

readChar() - Method in class emolib.tokenizer.lexer.english.SimpleCharStream: Read a character.
readChar() - Method in class emolib.tokenizer.lexer.spanish.SimpleCharStream: Read a character.
readLittleEndianFloat(DataInputStream) - Static method in class emolib.util.Utilities: Reads the next float from the given DataInputStream, where the data is in little endian.
readLittleEndianInt(DataInputStream) - Static method in class emolib.util.Utilities: Reads the next little-endian integer from the given DataInputStream.
register(String, Registry) - Method in class emolib.AffectiveTagger
register(String, Registry) - Method in class emolib.classifier.Classifier
register(String, Registry) - Method in class emolib.classifier.machinelearning.ARNReduced
register(String, Registry) - Method in class emolib.classifier.machinelearning.HierarchicalARNReduced
register(String, Registry) - Method in class emolib.classifier.machinelearning.KNearestNeighbour
register(String, Registry) - Method in class emolib.classifier.machinelearning.NaiveBayes
register(String, Registry) - Method in class emolib.classifier.machinelearning.NearestCentroid
register(String, Registry) - Method in class emolib.classifier.machinelearning.RiskWeightedNaiveBayes
register(String, Registry) - Method in class emolib.eks.anlw.EmotionalKeywordSpotterANLW
register(String, Registry) - Method in class emolib.eks.EmotionalKeywordSpotter
register(String, Registry) - Method in class emolib.formatter.AffectiveFormatter
register(String, Registry) - Method in class emolib.formatter.xml.XMLFormatter
register(String, Registry) - Method in class emolib.pos.POSTagger
register(String, Registry) - Method in class emolib.pos.qtag.SpanishQTag
register(String, Registry) - Method in class emolib.pos.stanford.EnglishStanford
register(String, Registry) - Method in class emolib.splitter.bdt.SentenceSplitterBDT
register(String, Registry) - Method in class emolib.splitter.SentenceSplitter
register(String, Registry) - Method in class emolib.statistic.average.ArithmeticMean
register(String, Registry) - Method in class emolib.statistic.Statistic
register(String, Registry) - Method in class emolib.stemmer.snowball.GenericSnowballStemmer
register(String, Registry) - Method in class emolib.stemmer.Stemmer
register(String, Registry) - Method in class emolib.tokenizer.Tokenizer
register(String, Registry) - Method in interface emolib.util.conf.Configurable: Register my properties.
register(String, PropertyType) - Method in class emolib.util.conf.Registry: Registers a property with this registry
register(String, Registry) - Method in class emolib.util.printer.Printer
register(String, Registry) - Method in class emolib.util.proc.TextDataProcessor
register(String, Registry) - Method in class emolib.wsd.openthes.OpenThesWSD
register(String, Registry) - Method in class emolib.wsd.simlib.SimLibWSD
register(String, Registry) - Method in class emolib.wsd.WordSenseDisambiguator
Registry - Class in emolib.util.conf: Used to register properties
ReInit(InputStream) - Method in class emolib.tokenizer.lexer.english.EnglishLexer: Reinitialise.
ReInit(InputStream, String) - Method in class emolib.tokenizer.lexer.english.EnglishLexer: Reinitialise.
ReInit(Reader) - Method in class emolib.tokenizer.lexer.english.EnglishLexer: Reinitialise.
ReInit(EnglishLexerTokenManager) - Method in class emolib.tokenizer.lexer.english.EnglishLexer: Reinitialise.
ReInit(SimpleCharStream) - Method in class emolib.tokenizer.lexer.english.EnglishLexerTokenManager: Reinitialise parser.
ReInit(SimpleCharStream, int) - Method in class emolib.tokenizer.lexer.english.EnglishLexerTokenManager: Reinitialise parser.
ReInit(Reader, int, int, int) - Method in class emolib.tokenizer.lexer.english.SimpleCharStream: Reinitialise.
ReInit(Reader, int, int) - Method in class emolib.tokenizer.lexer.english.SimpleCharStream: Reinitialise.
ReInit(Reader) - Method in class emolib.tokenizer.lexer.english.SimpleCharStream: Reinitialise.
ReInit(InputStream, String, int, int, int) - Method in class emolib.tokenizer.lexer.english.SimpleCharStream: Reinitialise.
ReInit(InputStream, int, int, int) - Method in class emolib.tokenizer.lexer.english.SimpleCharStream: Reinitialise.
ReInit(InputStream, String) - Method in class emolib.tokenizer.lexer.english.SimpleCharStream: Reinitialise.
ReInit(InputStream) - Method in class emolib.tokenizer.lexer.english.SimpleCharStream: Reinitialise.
ReInit(InputStream, String, int, int) - Method in class emolib.tokenizer.lexer.english.SimpleCharStream: Reinitialise.
ReInit(InputStream, int, int) - Method in class emolib.tokenizer.lexer.english.SimpleCharStream: Reinitialise.
ReInit(Reader, int, int, int) - Method in class emolib.tokenizer.lexer.spanish.SimpleCharStream: Reinitialise.
ReInit(Reader, int, int) - Method in class emolib.tokenizer.lexer.spanish.SimpleCharStream: Reinitialise.
ReInit(Reader) - Method in class emolib.tokenizer.lexer.spanish.SimpleCharStream: Reinitialise.
ReInit(InputStream, String, int, int, int) - Method in class emolib.tokenizer.lexer.spanish.SimpleCharStream: Reinitialise.
ReInit(InputStream, int, int, int) - Method in class emolib.tokenizer.lexer.spanish.SimpleCharStream: Reinitialise.
ReInit(InputStream, String) - Method in class emolib.tokenizer.lexer.spanish.SimpleCharStream: Reinitialise.
ReInit(InputStream) - Method in class emolib.tokenizer.lexer.spanish.SimpleCharStream: Reinitialise.
ReInit(InputStream, String, int, int) - Method in class emolib.tokenizer.lexer.spanish.SimpleCharStream: Reinitialise.
ReInit(InputStream, int, int) - Method in class emolib.tokenizer.lexer.spanish.SimpleCharStream: Reinitialise.
ReInit(InputStream) - Method in class emolib.tokenizer.lexer.spanish.SpanishLexer: Reinitialise.
ReInit(InputStream, String) - Method in class emolib.tokenizer.lexer.spanish.SpanishLexer: Reinitialise.
ReInit(Reader) - Method in class emolib.tokenizer.lexer.spanish.SpanishLexer: Reinitialise.
ReInit(SpanishLexerTokenManager) - Method in class emolib.tokenizer.lexer.spanish.SpanishLexer: Reinitialise.
ReInit(SimpleCharStream) - Method in class emolib.tokenizer.lexer.spanish.SpanishLexerTokenManager: Reinitialise parser.
ReInit(SimpleCharStream, int) - Method in class emolib.tokenizer.lexer.spanish.SpanishLexerTokenManager: Reinitialise parser.
removeElement(int) - Method in class emolib.classifier.machinelearning.ARNReduced.Graph: Removes a single element.
replace_s(int, int, String) - Method in class emolib.stemmer.snowball.SnowballProgram
reset() - Method in interface emolib.util.conf.Resetable: Resets this component.
Resetable - Interface in emolib.util.conf: Defines the interface for an object that is resetable
resetExamples() - Method in class emolib.classifier.Classifier: Method to reset the classifier and flush the training examples.
resetExamples() - Method in class emolib.classifier.machinelearning.ARNReduced
resetExamples() - Method in class emolib.classifier.machinelearning.BernoulliNB
resetExamples() - Method in class emolib.classifier.machinelearning.HierarchicalARNReduced
resetExamples() - Method in class emolib.classifier.machinelearning.Logistic
resetExamples() - Method in class emolib.classifier.machinelearning.LSA
resetExamples() - Method in class emolib.classifier.machinelearning.MultinomialNB
resetExamples() - Method in class emolib.classifier.machinelearning.NaiveBayes
resetExamples() - Method in class emolib.classifier.machinelearning.NearestCentroid
resetExamples() - Method in class emolib.classifier.machinelearning.OrdinalLogReg
resetExamples() - Method in class emolib.classifier.machinelearning.RiskLogReg
resetExamples() - Method in class emolib.classifier.machinelearning.RiskWeightedNaiveBayes
resetExamples() - Method in class emolib.classifier.machinelearning.SupportVectorMachine
resetExamples() - Method in class emolib.classifier.machinelearning.WekaMultinomialNB
resetIndent() - Method in class emolib.util.IndentationFormatter: Method to reset the indetation level counter.
resetTermFrequencies() - Method in class emolib.classifier.machinelearning.ARNReduced.Graph: Method to reset the term frequencies of this graph.
RESOURCE - Static variable in class emolib.util.conf.PropertyType: A Resource type.
result - Variable in class emolib.stemmer.snowball.Among
RiskLogReg - Class in emolib.classifier.machinelearning: The RiskLogReg is a Logistic Regression classifier where the objective function is weighted with a risk wrt the sentiment (NEG-NEU-POS labels).
RiskLogReg() - Constructor for class emolib.classifier.machinelearning.RiskLogReg: Main constructor of this logistic regression classifier.
RiskWeightedNaiveBayes - Class in emolib.classifier.machinelearning: The RiskWeightedNaiveBayes is a Naive Bayes classifier that accounts for the hierarchy of emotion.
RiskWeightedNaiveBayes() - Constructor for class emolib.classifier.machinelearning.RiskWeightedNaiveBayes: Main constructor of this classifier.

S

s - Variable in class emolib.stemmer.snowball.Among
s_size - Variable in class emolib.stemmer.snowball.Among
SALTO_CR - Static variable in interface emolib.tokenizer.lexer.english.EnglishLexerConstants: RegularExpression Id.
SALTO_CR - Static variable in interface emolib.tokenizer.lexer.spanish.SpanishLexerConstants: RegularExpression Id.
SALTO_CRLF - Static variable in interface emolib.tokenizer.lexer.english.EnglishLexerConstants: RegularExpression Id.
SALTO_CRLF - Static variable in interface emolib.tokenizer.lexer.spanish.SpanishLexerConstants: RegularExpression Id.
SALTO_LF - Static variable in interface emolib.tokenizer.lexer.english.EnglishLexerConstants: RegularExpression Id.
SALTO_LF - Static variable in interface emolib.tokenizer.lexer.spanish.SpanishLexerConstants: RegularExpression Id.
save(String) - Method in class emolib.classifier.Classifier: Generic method to save the fully fledged classifier into a given file path.
save(String) - Method in class emolib.classifier.heuristic.FiveIntervalsKE
save(String) - Method in class emolib.classifier.heuristic.ThreeIntervalsKE
save(String) - Method in class emolib.classifier.machinelearning.ARNReduced
save(String) - Method in class emolib.classifier.machinelearning.BernoulliNB
save(String) - Method in class emolib.classifier.machinelearning.HierarchicalARNReduced
save(String) - Method in class emolib.classifier.machinelearning.KNearestNeighbour
save(String) - Method in class emolib.classifier.machinelearning.Logistic
save(String) - Method in class emolib.classifier.machinelearning.LSA
save(String) - Method in class emolib.classifier.machinelearning.MultinomialNB
save(String) - Method in class emolib.classifier.machinelearning.NaiveBayes
save(String) - Method in class emolib.classifier.machinelearning.NearestCentroid
save(String) - Method in class emolib.classifier.machinelearning.OrdinalLogReg
save(String) - Method in class emolib.classifier.machinelearning.RiskLogReg
save(String) - Method in class emolib.classifier.machinelearning.RiskWeightedNaiveBayes
save(String) - Method in class emolib.classifier.machinelearning.SupportVectorMachine
save(String) - Method in class emolib.classifier.machinelearning.WekaMultinomialNB
save(File) - Method in class emolib.util.conf.ConfigurationManager: Saves the current configuration to the given file
SemevalCorpusCategorizerNN - Class in emolib.util.eval.semeval: The SemevalCorpusCategorizerNN class decides the category for each headline in the Semeval'07 corpus according to the Nearest Neighbour algorithm.
SemevalCorpusCategorizerNN() - Constructor for class emolib.util.eval.semeval.SemevalCorpusCategorizerNN: Void constructor.
SentenceData - Class in emolib.util.proc: The SentenceData class is a Data construct that holds information at sentence-level.
SentenceData() - Constructor for class emolib.util.proc.SentenceData: Constructs an empty SentenceData object.
SentenceSplitter - Class in emolib.splitter: The SentenceSplitter abstract class defines the general structure to perform the sentence segmentation process.
SentenceSplitter() - Constructor for class emolib.splitter.SentenceSplitter: Main constructor of the SentenceSplitter.
SentenceSplitterBDT - Class in emolib.splitter.bdt: The SentenceSplitterBDT class performs the sentence segmentation process through a hand-crafted Binary Decision Tree (BDT).
SentenceSplitterBDT() - Constructor for class emolib.splitter.bdt.SentenceSplitterBDT: Main constructor of the SentenceSplitterBDT.
service(HttpServletRequest, HttpServletResponse) - Method in class emolib.util.servlet.en.ProcessingService: Overrides the service procedure of the servlet specification in order to include the EmoLib processing facilities.
service(HttpServletRequest, HttpServletResponse) - Method in class emolib.util.servlet.es.ProcessingService: Overrides the service procedure of the servlet specification in order to include the EmoLib processing facilities.
setAccountForPriors(boolean) - Method in class emolib.classifier.machinelearning.NaiveBayes: Method to set the NB to account for prior probabilities.
setActivation(float) - Method in class emolib.classifier.FeatureBox: Method to introduce the activation emotional dimension into this container.
setActivation(float) - Method in class emolib.eks.anlw.DimentionsANLW: Sets the activation of the object.
setAsAdjective() - Method in class emolib.util.proc.WordData: Sets this words as an adjective.
setAsAdverb() - Method in class emolib.util.proc.WordData: Sets this words as an adverb.
setAsLink() - Method in class emolib.classifier.machinelearning.ARNReduced.GraphElement: Method to set this graph element as a link.
setAsModifier() - Method in class emolib.util.proc.WordData: Method to set this WordData object as a modifier.
setAsNegationAdverb() - Method in class emolib.util.proc.WordData: Method to set this WordData object as a negation adverb.
setAsNode() - Method in class emolib.classifier.machinelearning.ARNReduced.GraphElement: Method to set this graph element as a node.
setAsNoun() - Method in class emolib.util.proc.WordData: Sets this words as a noun.
setAsVerb() - Method in class emolib.util.proc.WordData: Sets this words as a verb.
setBasicCategories(String) - Method in class emolib.classifier.eval.KFoldXValidation: Method to set the basic categories of the system.
setCategory(String) - Method in class emolib.eks.anlw.DimentionsANLW: Sets the word-class of the object.
setCategoryName(String) - Method in class emolib.classifier.machinelearning.ARNReduced.Graph: Method to add a category name to this graph.
setChi2(boolean, int) - Method in class emolib.classifier.machinelearning.Logistic: Set the Chi square feature selection.
setChi2(boolean, int) - Method in class emolib.classifier.machinelearning.MultinomialNB: Set the Chi square feature selection.
setChi2(boolean, int) - Method in class emolib.classifier.machinelearning.SupportVectorMachine: Set the Chi square feature selection.
setChi2(boolean, int) - Method in class emolib.classifier.machinelearning.WekaMultinomialNB: Set the Chi square feature selection.
setCOF(boolean) - Method in class emolib.classifier.machinelearning.ARNReduced: Method to set the assessment of co-ocurrence frequencies (tuples actually).
setCOF(boolean) - Method in class emolib.classifier.machinelearning.BernoulliNB: Method to consider bigram frequencies.
setCOF(boolean) - Method in class emolib.classifier.machinelearning.Logistic: Method to consider bigram frequencies.
setCOF(boolean) - Method in class emolib.classifier.machinelearning.LSA: Method to consider bigram frequencies.
setCOF(boolean) - Method in class emolib.classifier.machinelearning.MultinomialNB: Method to consider bigram frequencies.
setCOF(boolean) - Method in class emolib.classifier.machinelearning.OrdinalLogReg: Method to consider bigram frequencies.
setCOF(boolean) - Method in class emolib.classifier.machinelearning.RiskLogReg: Method to consider bigram frequencies.
setCOF(boolean) - Method in class emolib.classifier.machinelearning.SupportVectorMachine: Method to consider bigram frequencies.
setCOF(boolean) - Method in class emolib.classifier.machinelearning.WekaMultinomialNB: Method to consider bigram frequencies.
setControl(float) - Method in class emolib.classifier.FeatureBox: Method to introduce the control emotional dimension into this container.
setControl(float) - Method in class emolib.eks.anlw.DimentionsANLW: Sets the control of the object.
setCurrent(String) - Method in class emolib.stemmer.snowball.SnowballProgram: Set the current string.
setDebugStream(PrintStream) - Method in class emolib.tokenizer.lexer.english.EnglishLexerTokenManager: Set debug output.
setDebugStream(PrintStream) - Method in class emolib.tokenizer.lexer.spanish.SpanishLexerTokenManager: Set debug output.
setEmotionalActivation(float) - Method in class emolib.util.proc.ParagraphData: Sets the activation of the emotion of this paragraph.
setEmotionalActivation(float) - Method in class emolib.util.proc.SentenceData: Sets the activation of the emotion of this sentence.
setEmotionalActivation(float) - Method in class emolib.util.proc.TextData: Sets the activation of the emotion of this document.
setEmotionalActivation(float) - Method in class emolib.util.proc.WordData: Sets the activation of the emotion of this word.
setEmotionalCategory(String) - Method in class emolib.util.proc.ParagraphData: Sets the category of the emotion of this paragraph.
setEmotionalCategory(String) - Method in class emolib.util.proc.SentenceData: Sets the category of the emotion of this sentence.
setEmotionalCategory(String) - Method in class emolib.util.proc.TextData: Sets the category of the emotion of this document.
setEmotionalCategory(String) - Method in class emolib.util.proc.WordData: Sets the category of the emotion of this word.
setEmotionalContent() - Method in class emolib.util.proc.ParagraphData: Marks the paragraph as emotional container.
setEmotionalContent() - Method in class emolib.util.proc.SentenceData: Marks the sentence as emotional container.
setEmotionalContent() - Method in class emolib.util.proc.TextData: Marks the document as emotional container.
setEmotionalContent() - Method in class emolib.util.proc.WordData: Marks the word as emotional container.
setEmotionalControl(float) - Method in class emolib.util.proc.ParagraphData: Sets the control of the emotion of this paragraph.
setEmotionalControl(float) - Method in class emolib.util.proc.SentenceData: Sets the control of the emotion of this sentence.
setEmotionalControl(float) - Method in class emolib.util.proc.TextData: Sets the control of the emotion of this document.
setEmotionalControl(float) - Method in class emolib.util.proc.WordData: Sets the control of the emotion of this word.
setEmotionalValence(float) - Method in class emolib.util.proc.ParagraphData: Sets the valence of the emotion of this paragraph.
setEmotionalValence(float) - Method in class emolib.util.proc.SentenceData: Sets the valence of the emotion of this sentence.
setEmotionalValence(float) - Method in class emolib.util.proc.TextData: Sets the valence of the emotion of this document.
setEmotionalValence(float) - Method in class emolib.util.proc.WordData: Sets the valence of the emotion of this word.
setEmotionDims(boolean) - Method in class emolib.classifier.machinelearning.BernoulliNB: Method to consider emotion dimensions.
setEmotionDims(boolean) - Method in class emolib.classifier.machinelearning.Logistic: Method to consider emotion dimensions.
setEmotionDims(boolean) - Method in class emolib.classifier.machinelearning.MultinomialNB: Method to consider emotion dimensions.
setEmotionDims(boolean) - Method in class emolib.classifier.machinelearning.OrdinalLogReg: Method to consider emotion dimensions.
setEmotionDims(boolean) - Method in class emolib.classifier.machinelearning.RiskLogReg: Method to consider emotion dimensions.
setEmotionDims(boolean) - Method in class emolib.classifier.machinelearning.SupportVectorMachine: Method to consider emotion dimensions.
setEmotionDims(boolean) - Method in class emolib.classifier.machinelearning.WekaMultinomialNB: Method to consider emotion dimensions.
setExponent(double) - Method in class emolib.classifier.machinelearning.SupportVectorMachine: Method to set the exponent of the polynomial kernel.
setFeatSelChi2(boolean, int) - Method in class emolib.classifier.machinelearning.ARNReduced: Method to set the Chi square global feature selection.
setFeatSelMI(boolean, int) - Method in class emolib.classifier.machinelearning.ARNReduced: Method to set the Mutual Information global feature selection.
setFeatSelTF(boolean, int) - Method in class emolib.classifier.machinelearning.ARNReduced: Method to set the Term Frequency global feature selection.
setFixedDataset() - Method in class emolib.classifier.eval.KFoldXValidation: Method to set only if a fixed dataset is given for training.
setFloat(String, float) - Method in interface emolib.util.conf.PropertySheet: Sets the given property to the given name
setInt(String, int) - Method in interface emolib.util.conf.PropertySheet: Sets the given property to the given name
setIntercept(boolean) - Method in class emolib.classifier.machinelearning.Logistic: Method to consider the intercept feature.
setIntercept(boolean) - Method in class emolib.classifier.machinelearning.OrdinalLogReg: Method to consider the intercept feature.
setIntercept(boolean) - Method in class emolib.classifier.machinelearning.RiskLogReg: Method to consider the intercept feature.
setIntercept(boolean) - Method in class emolib.classifier.machinelearning.SupportVectorMachine: Method to consider the intercept feature.
setIntercept(boolean) - Method in class emolib.classifier.machinelearning.WekaMultinomialNB: Method to consider the intercept feature.
setInterceptVariance() - Method in class emolib.classifier.machinelearning.Logistic.VectorStatistics: Set intercept feature.
setLearningProcedure(String) - Method in class emolib.classifier.machinelearning.HierarchicalARNReduced: Method to set the learning procedure.
setLearningProcedure(String) - Method in class emolib.classifier.machinelearning.RiskWeightedNaiveBayes: Method to set the learning procedure.
setLeftTerm(String) - Method in class emolib.classifier.machinelearning.ARNReduced.GraphElement: Method to set the left term of this link.
setLowerOrderTerms(boolean) - Method in class emolib.classifier.machinelearning.SupportVectorMachine: Method to set the use of lower terms in the kernel.
setMI(boolean, int) - Method in class emolib.classifier.machinelearning.Logistic: Set the Mutual Information feature selection.
setMI(boolean, int) - Method in class emolib.classifier.machinelearning.MultinomialNB: Set the Mutual Information feature selection.
setMI(boolean, int) - Method in class emolib.classifier.machinelearning.SupportVectorMachine: Set the Mutual Information feature selection.
setMI(boolean, int) - Method in class emolib.classifier.machinelearning.WekaMultinomialNB: Set the Mutual Information feature selection.
setModifierValue(float) - Method in class emolib.util.proc.WordData: Method to set the modifier value.
setMomentum(float) - Method in class emolib.classifier.machinelearning.RiskWeightedNaiveBayes: Method to set the momentum.
setNegation(boolean) - Method in class emolib.classifier.FeatureBox: Method to input the negation feature of the words above..
setNegation(boolean) - Method in class emolib.classifier.machinelearning.BernoulliNB: Method to consider negations.
setNegation(boolean) - Method in class emolib.classifier.machinelearning.Logistic: Method to consider negations.
setNegation(boolean) - Method in class emolib.classifier.machinelearning.MultinomialNB: Method to consider negations.
setNegation(boolean) - Method in class emolib.classifier.machinelearning.OrdinalLogReg: Method to consider negations.
setNegation(boolean) - Method in class emolib.classifier.machinelearning.RiskLogReg: Method to consider negations.
setNegation(boolean) - Method in class emolib.classifier.machinelearning.SupportVectorMachine: Method to consider negations.
setNegation(boolean) - Method in class emolib.classifier.machinelearning.WekaMultinomialNB: Method to consider negations.
setNormalisedPolyK(boolean) - Method in class emolib.classifier.machinelearning.SupportVectorMachine: Method to use the Normalized Polynomial kernel.
setNumberOfEmotionalDimensions(int) - Method in class emolib.classifier.FeatureBox: Method to set the number of emotional dimensions.
setNumberOfEmotionalDimensions(int) - Method in class emolib.classifier.machinelearning.KNearestNeighbour: Method to set the number of emotional dimensions.
setNumberOfEmotionalDimensions(int) - Method in class emolib.classifier.machinelearning.NaiveBayes: Method to set the number of emotional dimensions.
setNumberOfEmotionalDimensions(int) - Method in class emolib.classifier.machinelearning.NearestCentroid: Method to set the number of emotional dimensions.
setNumberOfEmotionalDimensions(int) - Method in class emolib.classifier.machinelearning.RiskWeightedNaiveBayes: Method to set the number of emotional dimensions.
setNumberOfFolds(int) - Method in class emolib.classifier.eval.KFoldXValidation: Method to set the number of folds.
setNumberOfNeighbours(int) - Method in class emolib.classifier.machinelearning.KNearestNeighbour: Method to set the number of neighbors to consider (k) when evaluating this classifier.
setNumberOfParagraph(int) - Method in class emolib.util.proc.WordData: Sets the number of paragraph.
setNumberOfSentence(int) - Method in class emolib.util.proc.WordData: Sets the number of sentence.
setPOS(boolean) - Method in class emolib.classifier.machinelearning.ARNReduced: Method to set the assessment of POS tags (grammatical analysis).
setPOS(boolean) - Method in class emolib.classifier.machinelearning.BernoulliNB: Method to consider POS tags.
setPOS(boolean) - Method in class emolib.classifier.machinelearning.Logistic: Method to consider POS tags.
setPOS(boolean) - Method in class emolib.classifier.machinelearning.LSA: Method to consider POS tags.
setPOS(boolean) - Method in class emolib.classifier.machinelearning.MultinomialNB: Method to consider POS tags.
setPOS(boolean) - Method in class emolib.classifier.machinelearning.OrdinalLogReg: Method to consider POS tags.
setPOS(boolean) - Method in class emolib.classifier.machinelearning.RiskLogReg: Method to consider POS tags.
setPOS(boolean) - Method in class emolib.classifier.machinelearning.SupportVectorMachine: Method to consider POS tags.
setPOS(boolean) - Method in class emolib.classifier.machinelearning.WekaMultinomialNB: Method to consider POS tags.
setPossibleEmotionalContent(String) - Method in class emolib.tokenizer.Tokenizer: Method to put a possible emotional word into the system.
setPOSTags(String) - Method in class emolib.classifier.FeatureBox: Method to input the POS tags.
setPredecessor(DataProcessor) - Method in class emolib.AffectiveTagger: Sets the source of Data for this AffectiveTagger.
setPredecessor(DataProcessor) - Method in interface emolib.util.proc.DataProcessor: Sets the predecessor DataProcessor.
setPredecessor(DataProcessor) - Method in class emolib.util.proc.TextDataProcessor
setPrior(String) - Method in class emolib.classifier.machinelearning.Logistic: Method to set the regression prior.
setProperty(String, String, String) - Method in class emolib.util.conf.ConfigurationManager: Sets the property of the given component to the given value.
setRaw(String, Object) - Method in interface emolib.util.conf.PropertySheet: Sets the raw property to the given name
setRBF(boolean) - Method in class emolib.classifier.machinelearning.SupportVectorMachine: Method to use the Radial Basis Function kernel.
setRightTerm(String) - Method in class emolib.classifier.machinelearning.ARNReduced.GraphElement: Method to set the right term of this link.
setSense(ArrayList) - Method in class emolib.util.proc.WordData: Method to set the sense of the word.
setSimilarityMeasure(String) - Method in class emolib.classifier.machinelearning.ARNReduced: Method to set the similarity measure.
setStemKey(String) - Method in class emolib.eks.anlw.DimentionsANLW: Sets the stem of the object.
setStemmedSynonyms(String) - Method in class emolib.classifier.FeatureBox: Method to input the stemmed synonyms of the words (nouns, actually).
setStemmedWordSense(ArrayList) - Method in class emolib.util.proc.WordData: Method to set the stememd sense of the word.
setStemming(boolean) - Method in class emolib.classifier.machinelearning.BernoulliNB: Method to consider stems.
setStemming(boolean) - Method in class emolib.classifier.machinelearning.Logistic: Method to consider stems.
setStemming(boolean) - Method in class emolib.classifier.machinelearning.LSA: Method to consider stems.
setStemming(boolean) - Method in class emolib.classifier.machinelearning.MultinomialNB: Method to consider stems.
setStemming(boolean) - Method in class emolib.classifier.machinelearning.OrdinalLogReg: Method to consider stems.
setStemming(boolean) - Method in class emolib.classifier.machinelearning.RiskLogReg: Method to consider stems.
setStemming(boolean) - Method in class emolib.classifier.machinelearning.SupportVectorMachine: Method to consider stems.
setStemming(boolean) - Method in class emolib.classifier.machinelearning.WekaMultinomialNB: Method to consider stems.
setStems(String) - Method in class emolib.classifier.FeatureBox: Method to input the stems of the words.
setStems(boolean) - Method in class emolib.classifier.machinelearning.ARNReduced: Method to set the assessment of stemmed terms.
setString(String, String) - Method in interface emolib.util.conf.PropertySheet: Sets the given property to the given name
setSynonyms(String) - Method in class emolib.classifier.FeatureBox: Method to input the synonyms of the words (nouns, actually).
setSynonyms(boolean) - Method in class emolib.classifier.machinelearning.ARNReduced: Method to set the assessment of synonyms.
setSynonyms(boolean) - Method in class emolib.classifier.machinelearning.BernoulliNB: Method to consider synonyms.
setSynonyms(boolean) - Method in class emolib.classifier.machinelearning.Logistic: Method to consider synonyms.
setSynonyms(boolean) - Method in class emolib.classifier.machinelearning.LSA: Method to consider synonyms.
setSynonyms(boolean) - Method in class emolib.classifier.machinelearning.MultinomialNB: Method to consider synonyms.
setSynonyms(boolean) - Method in class emolib.classifier.machinelearning.OrdinalLogReg: Method to consider synonyms.
setSynonyms(boolean) - Method in class emolib.classifier.machinelearning.RiskLogReg: Method to consider synonyms.
setSynonyms(boolean) - Method in class emolib.classifier.machinelearning.SupportVectorMachine: Method to consider synonyms.
setSynonyms(boolean) - Method in class emolib.classifier.machinelearning.WekaMultinomialNB: Method to consider synonyms.
setTabSize(int) - Method in class emolib.tokenizer.lexer.english.SimpleCharStream
setTabSize(int) - Method in class emolib.tokenizer.lexer.spanish.SimpleCharStream
setTerm(String) - Method in class emolib.classifier.machinelearning.ARNReduced.GraphElement: Method to set the term of this node.
setTermFrequency(int) - Method in class emolib.classifier.machinelearning.ARNReduced.GraphElement: Method to set the number of counts.
setTermWeighingMeasure(String) - Method in class emolib.classifier.machinelearning.ARNReduced: Method to set the term weighting measure.
setTermWeighingMeasure(String) - Method in class emolib.classifier.machinelearning.Logistic: Method to set the TW method.
setTermWeighingMeasure(String) - Method in class emolib.classifier.machinelearning.LSA: Method to set the TW method.
setTermWeighingMeasure(String) - Method in class emolib.classifier.machinelearning.OrdinalLogReg: Method to set the TW method.
setTermWeighingMeasure(String) - Method in class emolib.classifier.machinelearning.RiskLogReg: Method to set the TW method.
setTermWeighingMeasure(String) - Method in class emolib.classifier.machinelearning.SupportVectorMachine: Method to set the TW method.
setTermWeighingMeasure(String) - Method in class emolib.classifier.machinelearning.WekaMultinomialNB: Method to set the TW method.
setTerse(boolean) - Method in class emolib.util.SphinxLogFormatter: Sets the level of output
setText(String) - Method in class emolib.classifier.FeatureBox: Method to input text.
setTextProcessingPipeline(AffectiveTagger) - Method in class emolib.classifier.eval.KFoldXValidation: Method to set the text processing pipeline.
setTF(boolean, int) - Method in class emolib.classifier.machinelearning.Logistic: Set the Term Frequency feature selection.
setTF(boolean, int) - Method in class emolib.classifier.machinelearning.MultinomialNB: Set the Term Frequency feature selection.
setTF(boolean, int) - Method in class emolib.classifier.machinelearning.SupportVectorMachine: Set the Term Frequency feature selection.
setTF(boolean, int) - Method in class emolib.classifier.machinelearning.WekaMultinomialNB: Set the Term Frequency feature selection.
setThreshold(float) - Method in class emolib.classifier.machinelearning.RiskWeightedNaiveBayes: Method to set the threshold.
setTypeOfARN(String) - Method in class emolib.classifier.machinelearning.HierarchicalARNReduced: Method to set the type of ARN to use.
setTypeOfLikelihoodDistribution(String) - Method in class emolib.classifier.machinelearning.NaiveBayes: Method to set the type of class-conditional densities.
setUtilityMeasure(double) - Method in class emolib.classifier.machinelearning.ARNReduced.GraphElement: Method to set the utility measure.
setValence(float) - Method in class emolib.classifier.FeatureBox: Method to introduce the valence emotional dimension into this container.
setValence(float) - Method in class emolib.eks.anlw.DimentionsANLW: Sets the valence of the object.
setWeighedMeasure(float) - Method in class emolib.classifier.machinelearning.ARNReduced.GraphElement: Method to set the weighed measure.
setWord(String) - Method in class emolib.util.proc.WordData: Sets the word of the object.
setWordClass(String) - Method in class emolib.util.proc.WordData: Sets the word-class of the object.
setWordData(int, WordData) - Method in class emolib.util.proc.TextData: Replaces the WordData object in the specified index with the new given WordData object.
setWordPOS(String) - Method in class emolib.util.proc.WordData: Sets the Part-Of-Speech of the word.
setWords(String) - Method in class emolib.classifier.FeatureBox: Method to input words.
setWordStem(String) - Method in class emolib.util.proc.WordData: Sets the stem of the word.
showConfig() - Method in class emolib.util.conf.ConfigurationManager: Shows the current configuration
showConfig(String) - Method in class emolib.util.conf.ConfigurationManager: Show the configuration for the compnent with the given name
showConfigAsGDL(String) - Method in class emolib.util.conf.ConfigurationManager: Dumps the config as a GDL plot
showConfigAsHTML(String) - Method in class emolib.util.conf.ConfigurationManager: Dumps the config as a set of HTML tables
SIMBOLO_NEUTRO - Static variable in interface emolib.tokenizer.lexer.english.EnglishLexerConstants: RegularExpression Id.
SIMBOLO_NEUTRO - Static variable in interface emolib.tokenizer.lexer.spanish.SpanishLexerConstants: RegularExpression Id.
SimilarityAssessor - Class in emolib.wsd.simlib: Title: Java WordNet Similarity
SimilarityAssessor(String) - Constructor for class emolib.wsd.simlib.SimilarityAssessor: The constructor.
SimilarityAssessor() - Constructor for class emolib.wsd.simlib.SimilarityAssessor: Void constructor.
SimLibWSD - Class in emolib.wsd.simlib: The SimLibWSD class performs the Word Sense Disambiguation (WSD) process using the WordNet Similarity library.
SimLibWSD() - Constructor for class emolib.wsd.simlib.SimLibWSD: Main constructor of the SimLibWSD.
SimpleCharStream - Class in emolib.tokenizer.lexer.english: An implementation of interface CharStream, where the stream is assumed to contain only ASCII characters (without unicode processing).
SimpleCharStream(Reader, int, int, int) - Constructor for class emolib.tokenizer.lexer.english.SimpleCharStream: Constructor.
SimpleCharStream(Reader, int, int) - Constructor for class emolib.tokenizer.lexer.english.SimpleCharStream: Constructor.
SimpleCharStream(Reader) - Constructor for class emolib.tokenizer.lexer.english.SimpleCharStream: Constructor.
SimpleCharStream(InputStream, String, int, int, int) - Constructor for class emolib.tokenizer.lexer.english.SimpleCharStream: Constructor.
SimpleCharStream(InputStream, int, int, int) - Constructor for class emolib.tokenizer.lexer.english.SimpleCharStream: Constructor.
SimpleCharStream(InputStream, String, int, int) - Constructor for class emolib.tokenizer.lexer.english.SimpleCharStream: Constructor.
SimpleCharStream(InputStream, int, int) - Constructor for class emolib.tokenizer.lexer.english.SimpleCharStream: Constructor.
SimpleCharStream(InputStream, String) - Constructor for class emolib.tokenizer.lexer.english.SimpleCharStream: Constructor.
SimpleCharStream(InputStream) - Constructor for class emolib.tokenizer.lexer.english.SimpleCharStream: Constructor.
SimpleCharStream - Class in emolib.tokenizer.lexer.spanish: An implementation of interface CharStream, where the stream is assumed to contain only ASCII characters (without unicode processing).
SimpleCharStream(Reader, int, int, int) - Constructor for class emolib.tokenizer.lexer.spanish.SimpleCharStream: Constructor.
SimpleCharStream(Reader, int, int) - Constructor for class emolib.tokenizer.lexer.spanish.SimpleCharStream: Constructor.
SimpleCharStream(Reader) - Constructor for class emolib.tokenizer.lexer.spanish.SimpleCharStream: Constructor.
SimpleCharStream(InputStream, String, int, int, int) - Constructor for class emolib.tokenizer.lexer.spanish.SimpleCharStream: Constructor.
SimpleCharStream(InputStream, int, int, int) - Constructor for class emolib.tokenizer.lexer.spanish.SimpleCharStream: Constructor.
SimpleCharStream(InputStream, String, int, int) - Constructor for class emolib.tokenizer.lexer.spanish.SimpleCharStream: Constructor.
SimpleCharStream(InputStream, int, int) - Constructor for class emolib.tokenizer.lexer.spanish.SimpleCharStream: Constructor.
SimpleCharStream(InputStream, String) - Constructor for class emolib.tokenizer.lexer.spanish.SimpleCharStream: Constructor.
SimpleCharStream(InputStream) - Constructor for class emolib.tokenizer.lexer.spanish.SimpleCharStream: Constructor.
simpleClassification() - Method in class emolib.classifier.machinelearning.ARNReduced: Functionality test.
simpleClassification() - Method in class emolib.classifier.machinelearning.LSA: Functionality test.
simpleClassification() - Method in class emolib.classifier.machinelearning.SupportVectorMachine: Functionality test.
simpleClassification() - Method in class emolib.classifier.machinelearning.WekaMultinomialNB: Functionality test.
slice_check() - Method in class emolib.stemmer.snowball.SnowballProgram
slice_del() - Method in class emolib.stemmer.snowball.SnowballProgram
slice_from(String) - Method in class emolib.stemmer.snowball.SnowballProgram
slice_from(CharSequence) - Method in class emolib.stemmer.snowball.SnowballProgram
slice_to(StringBuffer) - Method in class emolib.stemmer.snowball.SnowballProgram
slice_to(StringBuilder) - Method in class emolib.stemmer.snowball.SnowballProgram
SnowballProgram - Class in emolib.stemmer.snowball
SnowballProgram() - Constructor for class emolib.stemmer.snowball.SnowballProgram
SnowballStemmer - Class in emolib.stemmer.snowball
SnowballStemmer() - Constructor for class emolib.stemmer.snowball.SnowballStemmer
SpanishLexer - Class in emolib.tokenizer.lexer.spanish: Inherits the common methods and functions from the Tokenizer and implements a Spanish lexical analyzer with JavaCC.
SpanishLexer() - Constructor for class emolib.tokenizer.lexer.spanish.SpanishLexer: Void constructor needed to by the configuration manager to perform the instantiation.
SpanishLexer(InputStream) - Constructor for class emolib.tokenizer.lexer.spanish.SpanishLexer: Constructor with InputStream.
SpanishLexer(InputStream, String) - Constructor for class emolib.tokenizer.lexer.spanish.SpanishLexer: Constructor with InputStream and supplied encoding
SpanishLexer(Reader) - Constructor for class emolib.tokenizer.lexer.spanish.SpanishLexer: Constructor.
SpanishLexer(SpanishLexerTokenManager) - Constructor for class emolib.tokenizer.lexer.spanish.SpanishLexer: Constructor with generated Token Manager.
SpanishLexerConstants - Interface in emolib.tokenizer.lexer.spanish: Token literal values and constants.
SpanishLexerTokenManager - Class in emolib.tokenizer.lexer.spanish: Token Manager.
SpanishLexerTokenManager(SimpleCharStream) - Constructor for class emolib.tokenizer.lexer.spanish.SpanishLexerTokenManager: Constructor.
SpanishLexerTokenManager(SimpleCharStream, int) - Constructor for class emolib.tokenizer.lexer.spanish.SpanishLexerTokenManager: Constructor.
SpanishQTag - Class in emolib.pos.qtag: The SpanishQTag class performs the Part-Of-Speech (POS) tagging process in Spanish using the QTag library.
SpanishQTag() - Constructor for class emolib.pos.qtag.SpanishQTag: Main constructor of the SpanishQTag.
spanishStemmer - Class in emolib.stemmer.snowball.ext: This class was automatically generated by a Snowball to Java compiler It implements the stemming algorithm defined by a snowball script.
spanishStemmer() - Constructor for class emolib.stemmer.snowball.ext.spanishStemmer
specialConstructor - Variable in exception emolib.tokenizer.lexer.english.ParseException: This variable determines which constructor was used to create this object and thereby affects the semantics of the "getMessage" method (see below).
specialConstructor - Variable in exception emolib.tokenizer.lexer.spanish.ParseException: This variable determines which constructor was used to create this object and thereby affects the semantics of the "getMessage" method (see below).
specialToken - Variable in class emolib.tokenizer.lexer.english.Token: This field is used to access special tokens that occur prior to this token, but after the immediately preceding regular (non-special) token.
specialToken - Variable in class emolib.tokenizer.lexer.spanish.Token: This field is used to access special tokens that occur prior to this token, but after the immediately preceding regular (non-special) token.
SphinxLogFormatter - Class in emolib.util: Provides a log formatter for use with sphinx.
SphinxLogFormatter() - Constructor for class emolib.util.SphinxLogFormatter
standardise(double[]) - Method in class emolib.classifier.machinelearning.Logistic.VectorStatistics: Method to standardise the given vector.
staticFlag - Static variable in class emolib.tokenizer.lexer.english.SimpleCharStream: Whether parser is static.
staticFlag - Static variable in class emolib.tokenizer.lexer.spanish.SimpleCharStream: Whether parser is static.
Statistic - Class in emolib.statistic: The Statistic abstract class defines the general class to perform the statistical calculations.
Statistic() - Constructor for class emolib.statistic.Statistic: Main constructor of the Statistic processor.
stem() - Method in class emolib.stemmer.snowball.ext.englishStemmer
stem() - Method in class emolib.stemmer.snowball.ext.spanishStemmer
stem() - Method in class emolib.stemmer.snowball.SnowballStemmer
Stemmer - Class in emolib.stemmer: The Stemmer abstract class defines the general structure to perform the stemming process, which eliminates the inflexion of words.
Stemmer() - Constructor for class emolib.stemmer.Stemmer: Main constructor of the Stemmer.
STRING - Static variable in class emolib.util.conf.PropertyType: A String type
STRING_LIST - Static variable in class emolib.util.conf.PropertyType: An array of strings
substring_i - Variable in class emolib.stemmer.snowball.Among
subtractMeans(double[]) - Method in class emolib.classifier.machinelearning.Logistic.VectorStatistics: Method to subtract the means of the given vector.
SupportVectorMachine - Class in emolib.classifier.machinelearning: The SupportVectorMachine class is a SVM classifier.
SupportVectorMachine() - Constructor for class emolib.classifier.machinelearning.SupportVectorMachine: Main constructor of this SVM classifier.
swapFloat(float) - Static method in class emolib.util.Utilities: Byte-swaps the given float to the other endian.
swapInteger(int) - Static method in class emolib.util.Utilities: Byte-swaps the given integer to the other endian.
SwitchTo(int) - Method in class emolib.tokenizer.lexer.english.EnglishLexerTokenManager: Switch to specified lex state.
SwitchTo(int) - Method in class emolib.tokenizer.lexer.spanish.SpanishLexerTokenManager: Switch to specified lex state.
SYNSET - Static variable in class emolib.wsd.simlib.IndexBroker: A static constant that represents the field name that holds the offset value of each document.

T

TAB - Static variable in interface emolib.tokenizer.lexer.english.EnglishLexerConstants: RegularExpression Id.
TAB - Static variable in interface emolib.tokenizer.lexer.spanish.SpanishLexerConstants: RegularExpression Id.
tabSize - Variable in class emolib.tokenizer.lexer.english.SimpleCharStream
tabSize - Variable in class emolib.tokenizer.lexer.spanish.SimpleCharStream
TextData - Class in emolib.util.proc: The TextData class is a Data object that holds information at WordData-level.
TextData() - Constructor for class emolib.util.proc.TextData: Constructs an empty TextData object with a default initial capacity for 10 WordData objects.
TextData(int) - Constructor for class emolib.util.proc.TextData: Constructs an empty TextData object with an initial capacity for the specified number of WordData objects.
TextDataProcessor - Class in emolib.util.proc: The TextDataProcessor is an abstract base text processing class parent of all the primary classes of the text processing tasks.
TextDataProcessor() - Constructor for class emolib.util.proc.TextDataProcessor
ThreeIntervalsKE - Class in emolib.classifier.heuristic: The ThreeIntervalsKE is a heuristic rules-based classifier operating on the circumplex with sentiments.
ThreeIntervalsKE() - Constructor for class emolib.classifier.heuristic.ThreeIntervalsKE: Main constructor of this neuristic rules classifier.
token - Variable in class emolib.tokenizer.lexer.english.EnglishLexer: Current token.
Token - Class in emolib.tokenizer.lexer.english: Describes the input token stream.
Token() - Constructor for class emolib.tokenizer.lexer.english.Token: No-argument constructor
Token(int) - Constructor for class emolib.tokenizer.lexer.english.Token: Constructs a new token for the specified Image.
Token(int, String) - Constructor for class emolib.tokenizer.lexer.english.Token: Constructs a new token for the specified Image and Kind.
token - Variable in class emolib.tokenizer.lexer.spanish.SpanishLexer: Current token.
Token - Class in emolib.tokenizer.lexer.spanish: Describes the input token stream.
Token() - Constructor for class emolib.tokenizer.lexer.spanish.Token: No-argument constructor
Token(int) - Constructor for class emolib.tokenizer.lexer.spanish.Token: Constructs a new token for the specified Image.
Token(int, String) - Constructor for class emolib.tokenizer.lexer.spanish.Token: Constructs a new token for the specified Image and Kind.
token_source - Variable in class emolib.tokenizer.lexer.english.EnglishLexer: Generated Token Manager.
token_source - Variable in class emolib.tokenizer.lexer.spanish.SpanishLexer: Generated Token Manager.
tokenImage - Static variable in interface emolib.tokenizer.lexer.english.EnglishLexerConstants: Literal token values.
tokenImage - Variable in exception emolib.tokenizer.lexer.english.ParseException: This is a reference to the "tokenImage" array of the generated parser within which the parse error occurred.
tokenImage - Variable in exception emolib.tokenizer.lexer.spanish.ParseException: This is a reference to the "tokenImage" array of the generated parser within which the parse error occurred.
tokenImage - Static variable in interface emolib.tokenizer.lexer.spanish.SpanishLexerConstants: Literal token values.
Tokenizer - Class in emolib.tokenizer: The Tokenizer abstract class defines the general structure to perform the tokenisation process, which splits a text string into individual units, called tokens.
Tokenizer() - Constructor for class emolib.tokenizer.Tokenizer
TokenMgrError - Error in emolib.tokenizer.lexer.english: Token Manager Error.
TokenMgrError() - Constructor for error emolib.tokenizer.lexer.english.TokenMgrError: No arg constructor.
TokenMgrError(String, int) - Constructor for error emolib.tokenizer.lexer.english.TokenMgrError: Constructor with message and reason.
TokenMgrError(boolean, int, int, int, String, char, int) - Constructor for error emolib.tokenizer.lexer.english.TokenMgrError: Full Constructor.
TokenMgrError - Error in emolib.tokenizer.lexer.spanish: Token Manager Error.
TokenMgrError() - Constructor for error emolib.tokenizer.lexer.spanish.TokenMgrError: No arg constructor.
TokenMgrError(String, int) - Constructor for error emolib.tokenizer.lexer.spanish.TokenMgrError: Constructor with message and reason.
TokenMgrError(boolean, int, int, int, String, char, int) - Constructor for error emolib.tokenizer.lexer.spanish.TokenMgrError: Full Constructor.
toString() - Method in class emolib.AffectiveTagger: Returns a description of this AffectiveTagger in the format: {, ...
toString() - Method in class emolib.tokenizer.lexer.english.Token: Returns the image.
toString() - Method in class emolib.tokenizer.lexer.spanish.Token: Returns the image.
toString() - Method in exception emolib.util.conf.PropertyException: Returns a string representation of this object
toString() - Method in class emolib.util.conf.PropertyType
toString() - Method in class emolib.util.proc.TextDataProcessor: Returns the name of this TextDataProcessor.
train() - Method in class emolib.classifier.Classifier: Method to train the classifier.
trainClassifier(float, float, String) - Method in class emolib.util.eval.semeval.SemevalCorpusCategorizerNN: Method to train the classifier (NN).
trainingProcedure() - Method in class emolib.classifier.Classifier: Generic training procedure.
trainingProcedure() - Method in class emolib.classifier.heuristic.FiveIntervalsKE: Void method to train required by the Classifier class.
trainingProcedure() - Method in class emolib.classifier.heuristic.ThreeIntervalsKE: Void method to train required by the Classifier class.
trainingProcedure() - Method in class emolib.classifier.machinelearning.ARNReduced
trainingProcedure() - Method in class emolib.classifier.machinelearning.BernoulliNB: Training method based on the algorithm in (Manning, et al., 2008).
trainingProcedure() - Method in class emolib.classifier.machinelearning.HierarchicalARNReduced: Void method to train required by the Classifier class.
trainingProcedure() - Method in class emolib.classifier.machinelearning.KNearestNeighbour: Void method to train required by the Classifier class.
trainingProcedure() - Method in class emolib.classifier.machinelearning.Logistic: Training method based on the Stochastic Gradient Descent.
trainingProcedure() - Method in class emolib.classifier.machinelearning.LSA: Training method based on the SVD decomposition.
trainingProcedure() - Method in class emolib.classifier.machinelearning.MultinomialNB: Training method based on the algorithm in (Manning, et al., 2008).
trainingProcedure() - Method in class emolib.classifier.machinelearning.NaiveBayes: Void method to train required by the Classifier class.
trainingProcedure() - Method in class emolib.classifier.machinelearning.NearestCentroid
trainingProcedure() - Method in class emolib.classifier.machinelearning.OrdinalLogReg: Training method based on the Stochastic Gradient Descent.
trainingProcedure() - Method in class emolib.classifier.machinelearning.RiskLogReg: Training method based on the Stochastic Gradient Descent.
trainingProcedure() - Method in class emolib.classifier.machinelearning.RiskWeightedNaiveBayes: Void method to train required by the Classifier class.
trainingProcedure() - Method in class emolib.classifier.machinelearning.SupportVectorMachine: Training method based on the Stochastic Gradient Descent.
trainingProcedure() - Method in class emolib.classifier.machinelearning.WekaMultinomialNB

U

UpdateLineColumn(char) - Method in class emolib.tokenizer.lexer.english.SimpleCharStream
UpdateLineColumn(char) - Method in class emolib.tokenizer.lexer.spanish.SimpleCharStream
Utilities - Class in emolib.util: Provides a set of generic utilities

W

WekaMultinomialNB - Class in emolib.classifier.machinelearning: The WekaMultinomialNB class is a Multinomial Naive Bayes (MNB) classifier.
WekaMultinomialNB() - Constructor for class emolib.classifier.machinelearning.WekaMultinomialNB: Main constructor of this Multinomial Naive Bayes classifier.
WordData - Class in emolib.util.proc: The WordData class is a Data construct that holds information at word-level.
WordData() - Constructor for class emolib.util.proc.WordData: Constructs an empty WordData object.
WordData(String, String) - Constructor for class emolib.util.proc.WordData: Constructs and fills a WordData object.
WordNotFoundException - Exception in emolib.wsd.simlib: Title: Java WordNet Similarity
WordNotFoundException(String) - Constructor for exception emolib.wsd.simlib.WordNotFoundException: The constructor.
WORDS - Static variable in class emolib.wsd.simlib.IndexBroker: A static constant that represents the field name that holds the list of words of each document.
WordSenseDisambiguator - Class in emolib.wsd: The WordSenseDisambiguator abstract class defines the general structure to perform the Word Sense Disambiguation process, which determines the correct sense of polysemous words in context.
WordSenseDisambiguator() - Constructor for class emolib.wsd.WordSenseDisambiguator: Main constructor of the WordSenseDisambiguator.

X

XMLFormatter - Class in emolib.formatter.xml: The XMLFormatter class performs the formatting process of the output data into a XML file.
XMLFormatter() - Constructor for class emolib.formatter.xml.XMLFormatter: Main constructor of the XMLFormatter.

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