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