Title: A Datamining Approach for Emotions Extraction and Discovering Cricketers performance from Stadium to Sensex,
Abstract: Microblogging sites are the direct platform for the users to express their
views. It has been observed from previous studies that people are viable to
flaunt their emotions for events (eg. natural catastrophes, sports, academics
etc.), for persons (actor/actress, sports person, scientist) and for the places
they visit. In this study we focused on a sport event, particularly the cricket
tournament and collected the emotions of the fans for their favorite players
using their tweets. Further, we acquired the stock market performance of the
brands which are either endorsing the players or sponsoring the match in the
tournament. It has been observed that performance of the player triggers the
users to flourish their emotions over social media therefore, we observed
correlation between players performance and fans' emotions. Therefore, we found
the direct connection between player's performance with brand's behavior on
stock market.