Predicting the Outcome of Spanish General Elections 2016 Using Twitter as a Tool

In recent years, twitter has become a popular micro blogging tool among the people world over. These persons post small messages depicting their likes and dislike towards a certain entity e.g. election results. These messages can be used to predict their opinion towards a political party in general or an individual candidate in particular. This paper takes into consideration numerous tweets related data towards the context of 2016 Spanish General Elections. Next, we have tried to establish a relationship between the tweets gathered during the campaigning period and actual vote share that various political parties received in 2016 Spanish General Elections. We have developed a tool in ASP.Net and collected 90154 tweets from 6^th June to 26^th June 2016 and computed our results based on these tweets. Finally, we compared our computations to establish a close co-relation with the actual results. The factors those may have caused small variance, are minutely investigated upon to give us better insight so as elucidate even closer predictions for future events.