This Project involves a process of analyzing sentiments about any particular movie using user reviews available on social networking sites like Facebook and Twitter into categories namely, Positive and Negative. The idea behind this was to help user make better judgement about the product by reading only positive reviews or negative reviews related to the product. Sentiment analysis involved extraction and measurement of the sentiment or “attitude” of a review using natural language processing steps such as stemming, stop-words removal and formation of similarity matrix using Stanford NLP libraries.