An Analysis of Indian Election Outcomes using Machine Learning
Harmanjeet Singh, Anand Kumar Shukla
Abstract
What other people think" has always been makes us curious while indulge in decision making process. Earlier, many of us asked our personal acquaintances to recommend a political candidate or political party to whom we can vote or consult a broker to decide in which share we should invest our money. With the invent of Internet and world wide web have now let it happen to find out large pool of online users to share recommendation, opinion, views about an event. Although these online users are never our personal acquaintance nor professional critics. An irony of situation is many people are sharing opinions available to completely unknown person via Internet. In the beginning of 21st century, social networking websites taken exponential growth in popularity among online users by providing them a platform for discussion and exchange information. Apart from posting photos and videos for event, now online users are posting their comments, views, opinion about event. With this platform, most researchers are analyzing posts or opinion, performing computational methods to come to conclusion about popularity of event. This analysis part is becoming more powerful day by day to gauge user’s opinion and would play a significant role for someone to make major decision in future. The social microblogging sites such as Pinterest, Tumblr, Apsense, Scoop and specially Twitter are leading pools of online users and contains massive information that can be useful by extracting knowledge from information and that knowledge become asset for business specialist, political specialist, marketing specialist etc.