Abstract
Twitter is a free and most popular social networking service that allows registered and authorised user to transfer their opinion and reviews with other people and this type of transfer is called short messages which is also known as tweets. In this research, Sentiment analysis on Twitter dataset will be performed to predict the current affairs on Twitter data to make survey and prediction about the current affairs and also about the user's behaviour and opinion on the twitter. A current affair includes all tweets which are in the form of people opinion on Twitter like product reviews of customers, political tweets, movie ratings etc. All streaming as well as offline data on the tweets are analysed in this research. In this paper, we will describe about the different feature extraction methods with a new proposed work, its results and then the analysis of that results.
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