Analysis of Behavior Extraction on Social Life Issues by Tweets using Machine Learning Sentiment Analysis

Adnan Beg, Shish Ahmad

Abstract: At present time most of the world can be found on internet. The popularity of the social networking sites has been growing fast, parallel to emerging technologies, with increase in the number of users to the social networking sites that actively express their opinions on these sites. To forecast the sentiment analysis we have used the data stored on social sites stockpiling. Our goal is to retrieve data from social sites and analyze the emotion of a particular person on certain topic. For our analysis we have used the data available on Twitter, as Twitter has a large amount of data that people post, which gives the output beyond the polarity but those polarities can be used in product profiling, trend analysis and forecasting. This paper presents an overview of past and current research on twitter sentiment analysis and presents better ideas for future work.

Keywords: Twitter Textmining Microblogging Sentiment Analysis