Sentiment Analysis of movie Reviews using Twitter data

-Sentiment Analysis is the process of determining whether a piece of writing is positive, negative or neutral. It’s also known as opinion mining, deriving the opinion or attitude of a speaker .It is used to identify the mood emotional tone of the speaker. Sentiment analysis is extremely useful in social media monitoring as it allows us to gain the idea of the public. The problem is hard to find the motive of the sentence. The data source is twitter using twitter API. The techniques used are term frequency(TF), inverse document frequency(IDF) and Support vector machine(SVM) which is used to seperate the positive, negative and neutral.