Gongcheng Kexue Yu Jishu/Advanced Engineering Science

Title : A machine learning approach for prediction of election influence using social media
P VISWANATH, VIJAYA BHASKAR MADGULA, EDIGA KISHORE KUMAR GOWD

Abstract :

Because it contains all sorts of information, including breaking news, a daily newspaper is an essential component of every human being's daily routine. Nowadays, social media is the most important thing for any generation. Everything is more accessible, less priced, and at your fingertips than ever before. The influence of social media has made modern living more easier [1]. Anyone, at any moment, may use social media as they see fit. The use of social media is ubiquitous in modern society. Social media connects you to the globe and keeps every generation informed about what's occurring. Social media allows individuals to have an impact. Twitter and Facebook are the most well-known social media platforms among different generations, but there are many others. In the run-up to an election, people tend to dwell on any news that mentions a certain candidate or political party. Commenters on social media platforms express their views and opinions on the upcoming elections

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