Sentiment Analysis on Twitter Data: A New Aproach

In today's world social media is most visiting sites. The twitter is most visited blogging site as it's easy to share opinion. Sentiment Analysis is ongoing research topic. The application of Sentiment Analysis is that it is applied for survey review, movies reviewed. In this system the main objective is to analysis tweets and result to positive, negative and neutral form. The additional feature is location recognition of tweets. In pre-processing the proposed system overcomes the slang with online as well as offline slang dictionary and fetch real time data. The real time tweets will help a user to know about current facts. The spell correction is important pre-processing part overcome in this system. The name and entity extraction will let user know that tweets belong to any people or organization. The location of tweets could be used for any product review, political issues view, etc. the additional feature of location make system different and slang replacement increase the accuracy of system and make system more reliable. The system applied technique lie naïve bayes and semi supervised. The output is displayed in form of pie charts or bar graphs.