Sentiment analysis by identifying the speaker's polarity in Twitter data

Abstract

One of the most important services for the users using the internet is the Micro blogging which has evolved to be very important in today's life. A huge number of internet users share feelings on various parts of their life regularly in some of the most common sites, such as, Twitter, Face book etc. Some of the politicians will be eagerly waiting to understand whether the individuals and the people are interested to support the respective politicians and the political parties. Social associations may ask opinion of the individuals and their conclusion on current civil arguments. This data can be fetched from the social blogs like twitter, since the twitter users express the feelings on the various parts of the life consistently. Here we use the tools for sentiment analysis of the data by providing some of the tweet data as input and obtaining the respective scores as output.