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Comparison of Lexicon and Naive Bayes Classifier in Sentiment Analysis

Author(s):

Rohini.V , DON BOSCO INSTITUTE OF TECHNOLOGY; Merin Thomas, DON BOSCO INSTITUTE OF TECHNOLOGY

Keywords:

Sentiment Words, Machine Learning

Abstract

In the recent years Sentiment analysis (SA) has gained momentum by the increase of social networking sites. Sentiment analysis has been an important topic for data mining, social media for classifying reviews and thereby rating the entities such as products, movies etc. This paper represents a comparative study of sentiment classification of lexicon based approach and naive bayes classifier of machine learning in sentiment analysis.

Other Details

Paper ID: IJSRDV3I40786
Published in: Volume : 3, Issue : 4
Publication Date: 01/07/2015
Page(s): 1265-1269

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