Sentiment analysis is a research topic in the field of text mining. In today’s world it plays an important role as we are living in the age of digital world where each and every work is based on internet. These websites are working totally based on online review of various users. Sentiment analysis has gained focus in recent world due to increase in opinion rich web sources such as twitter, online review of products. This paper presents a review of different machine learning algorithms used for Sentiment analysis. A comparative study is being made on decision tree, Naive Bayes Algorithm and Neural Network. Our system is being tested on four products with positive, negative and neutral review. The system processes the text collected as dataset for review and accordingly it is being trained to classify these reviews efficiently.

Sentiment analysis, text mining, machine learning, NLP, Decision Tree, Naive Bayes, Neural Network algorithms

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