Package emolib.classifier.machinelearning

Machine Learning classifiers.

See:
Description

Class Summary

ARNReduced	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.
BernoulliNB	The BernoulliNB class is a Bernoulli Naive Bayes classifier.
HierarchicalARNReduced	The HierarchicalARNReduced is an ensemble of Reduced Associative Relational Networks considering the hierarchy of affect.
KNearestNeighbour	The KNearestNeighbour is an example-based classifier that uses the k-Nearest Neighbour method.
Logistic	The Logistic class is a Multinomial Logistic Regression (MLR) classifier.
LSA	The LSA class is a Latent Semantic Analysis classifier.
MultinomialNB	The MultinomialNB class is a Multinomial Naive Bayes (MNB) classifier.
NaiveBayes	The NaiveBayes is a Bayesian classifier operating in the circumplex.
NearestCentroid	The NearestCentroid is a Rocchio classifier operating in the circumplex.
OrdinalLogReg	The OrdinalLogReg class is an Ordinal Logistic Regression classifier.
RiskLogReg	The RiskLogReg is a Logistic Regression classifier where the objective function is weighted with a risk wrt the sentiment (NEG-NEU-POS labels).
RiskWeightedNaiveBayes	The RiskWeightedNaiveBayes is a Naive Bayes classifier that accounts for the hierarchy of emotion.
SupportVectorMachine	The SupportVectorMachine class is a SVM classifier.
WekaMultinomialNB	The WekaMultinomialNB class is a Multinomial Naive Bayes (MNB) classifier.

Package emolib.classifier.machinelearning Description

Machine Learning classifiers.