%0 Journal Article
%T Sentiment Analysis on Twitter
%A Akshi Kumar
%A Teeja Mary Sebastian
%J International Journal of Computer Science Issues
%D 2012
%I IJCSI Press
%X With the rise of social networking epoch, there has been a surge of user generated content. Microblogging sites have millions of people sharing their thoughts daily because of its characteristic short and simple manner of expression. We propose and investigate a paradigm to mine the sentiment from a popular real-time microblogging service, Twitter, where users post real time reactions to and opinions about ˇ°everythingˇ±. In this paper, we expound a hybrid approach using both corpus based and dictionary based methods to determine the semantic orientation of the opinion words in tweets. A case study is presented to illustrate the use and effectiveness of the proposed system
%K Microblogging
%K Twitter
%K Sentiment Analysis
%K IJCSI
%U http://www.ijcsi.org/papers/IJCSI-9-4-3-372-378.pdf