Analyzing Internet Slang for Sentiment Mining

Every consumer has his own opinion about the product he is using which they are willing to share in social groups like forums, chat rooms and weblogs. As these review comments are actual feedbacks from customers, mining the sentiments in these reviews is being increasingly inducted into the feedback pipeline for any company. Along with it, the increasing use of slang in such communities in expressing emotions and sentiment makes it important to consider Slang in determining the sentiment. In this paper, we present an approach for finding the sentiment score of newly found slang sentiment words in blogs, reviews and forum texts over the World Wide Web. A simple mechanism for calculating sentiment score of documents using slang words with the help of Delta Term Frequency and Weighted Inverse Document Frequency technique is also presented in this paper.