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Traditional Term Weighting Schemes For Sentiment Analysis

Goal: To Present comprehensive investigation of different traditional term weighting schemes for Sentiment Classification.

Term Weighting Schemes to be implemented are as follows:
(1) Term frequency inverse document frequency (tfidf)
(2) Term frequency inverse class frequency (tficf)
(3) Term weighting based on mutual information (MI)
(4) Term weighting based on X^2 statistic (CHI)

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