Predicting Election Result with Sentimental Analysis Using Twitter Data for Candidate Selection

Abstract

The aim of this paper is to provide a well and effective solution to distribute political party’s tickets during the election. The sole parameter of the current distribution of political party’s tickets is based on the money power and person’s references from their superior leaders. Our proposal is to highlight the discrepancy between the real candidate who is predicted to win the election based on their popularity with other parameters and those who have only references with money power. We will choose the deserving candidate by analyzing parameters such as social work, criminal records, educational qualification, and his/her popularity on social media (twitter).