Analysis of Tweet Data for Predicting Election Outcomes with Machine Learning

Abstract

The vast majority of Indians have always paid close attention to elections because of their significance. The current explosion of user-generated content on social media has given consumers a robust forum for their views. Twitter is one such site that regularly updates its users on current political happenings via hashtags and trends. People express themselves through their responses to these kinds of political occurrences. Our strategy is to compile a database of tweets from major political parties running for office in the General State election of 2022, and then calculate a sentiment score based on those tweets. The dataset includes both well-known and up-to-the-minute tweets about various topics.

party politics. To collect tweets about a particular political party, we utilise search terms like "BJP elections 2022," "#UPelections BJP," "#Punjabelections BJP," etc. Methods that we used includedUsing the test data, we created a classifier using VADER Sentiment Analyzer and traditional machine learning methods like Random Forest Classifier, Support Vector Machines, etc. Therefore, this work uses sentiment analysis to forecast election outcomes based on collected tweets.