Comparison of Lexicon based and Naïve Bayes Classifier in Sentiment Analysis
Merin Thomas · IJSRD : international journal for scientific research and development · 2015
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.