IITB-Sentiment-Analysts: Participation in Sentiment Analysis in Twitter SemEval 2013 Task
Karan Chawla, Ankit Ramteke, Pushpak Bhattacharyya · 2013
We propose a method for using discourse relations for polarity detection of tweets. We have focused on unstructured and noisy text like tweets on which linguistic tools like parsers and POS-taggers don’t work properly. We have showed how conjunctions, connectives, modals and conditionals affect the sentiments in tweets. We have also handled the commonly used abbreviations, slangs and collocations which are usually used in short text messages like tweets. This work focuses on a Web based application which produces results in real time. This approach is an extension of the previous work (Mukherjee et al. 2012). 1.