TwitPre: Tweets Preprocessing Tool for Social Media Analysis

Abstract

Ever escalating usage of social media brings as a powerful communication and information sharing tool used by millions of people around the world to post how they feel and what is happening now. It turn into a potential source of crowd wisdom extraction especially in terms of sentiments analysis and opinion mining which lead to a significant task of current research area. Major challenges in this area is to tame the data in terms of noise, relevance, emoticons, folksonomies and slangs. TwitPre offer a regular expression based preprocessing tasks on tweets. Expressions are defined according to the outcomes of elegant analysis on twitter data. Experiments were carried out to observe the effect of proposed tool which clearly indicates the improvements in accuracy compared with the existing baseline.