Sentiment analysis of movie review data using Senti-lexicon algorithm

With the increase in the development of the internet and web technology, there has been an enormous amplification in the generation of user data. Various blogs, social-networking websites, micro-blogs and review forums offer a rich source of opinion data for mining. Sentimental analysis, also known as opinion mining, is a natural language processing technique used to extract the feeling or attitude of general masses regarding a given subject or product. The central aim of this research paper is to perform sentiment analysis on movie review data. We have proposed the Senti-lexical algorithm to find the polarity of a review as positive, negative or neutral. We have also proposed a method to handle words which have negation effect on the reviews and the role of emoticons is also discussed.