Sentiment Analysis Of Twitter Data

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Day by day, social media micro-blogs becomes the best platform for the user to express their views and opinions in-front of the people about different types of product, services, people, etc. These social media micro-blogs like twitter becomes the biggest source of information and knowledge. Now days, lot of manufactures take a poll of public on micro-blogs about their new upcoming product to judge and to analyze their reactions for knowing the sense of their sentiments about those products. Now researchers focus on developing a technology which can identify and detect overall sentiments of users who are present on micro-blogs. Here, in this article, we focus on one of the famous social media micro-blog that is “Twitter”. We have explained different models to classify Tweets posted on the Twitter into positive, negative and neutral sentiments. Through this system, we try to do Sentiment Analysis of Twitter Data. We did the sentiment analysis of twitter data using two classifications models. The first one is three way task model for classifying positive, negative and neutral classes sentiments and second is , binary task based model that classify sentiments into two classes that is positive and negative.
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