Predicting the results of the 15th Karnataka Legislative Assembly Elections using Twitter

Chaitanya Agarwal

Twitter, NLP, State Election, Prediction

With 330 million MAU’s (Monthly Active Users) at the beginning of 2018, Twitter has been crowned the 13th most popular website in the world. Twitter as a data source is highly regarded due to its popularity and its infrastructure that provides almost 100% of its data through the API. Along with its own, third party libraries have immensely contributed to the growth of Twitter as a source of information. Users are limited to post 280 characters per tweet, which often fall under numerous categories ranging from sports to politics. These tweets are suitable for various purposes such as research, analysis, marketing, campaigning and more. The goal of this paper is to provide a comparative analysis between the prediction obtained from twitter and the opinion polls held with regards to the Karnataka State Elections, and to highlight the feasibility of using social media to predict opinions, rather than the traditional methods of polling .I have crawled thousands of tweets with the help of Tweepy. Tweets are classified based on the location of origin or location the tweet is directed to. Using Natural Language Processing, each tweet is classified based on whether it was positive or negative with respect to the major political parties in the respective states.

Published Paper   E-Certificate

"Predicting the results of the 15th Karnataka Legislative Assembly Elections using Twitter", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.3, Issue 10, page no.105 - 109, October-2018, Available :https://ijsdr.org/papers/IJSDR1810016.pdf

Volume 3 Issue 10, October-2018

Pages : 105 - 109

Paper Reg. ID: IJSDR_180703

Published Paper Id: IJSDR1810016

Downloads: 000347212

Research Area: Engineering

Country: Bangalore, Karnataka, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1810016

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1810016

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition