Tweet Mining from General Elections of a Country

Abstract

In previous election of a country for its democratic elections in which social media was targeted as a way to convince the social media users to attract their votes, an analysis of BigData on these elections tweets is performed to gather some interesting information. The parties which have been active on social media during elections were identified through hashtag and keyword frequency of occurrences; the top twitter users who influenced the public in election’s were identified by identifying the most re tweeted tweets and finally a comprehensive sentiment analysis were done on the big data set to check “Election trolling” where opposition parties insult and attack each other to get an idea of the political maturity of a country twitter users, with a high percentage negative sentiments it was deduced that people of that country lack political maturity.