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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM15468

A Systematic Review of Predicting Elections Based on Social Media Data

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM15468

Volume:

6 |

7 |

Jul 2022

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM15468

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

SSK

Shwetha Shree K

NKH

Niteesh Kumar HD

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Abstract

Elections in India has always been considered as an important event and has been keenly followed by majority of people. The rapid increase of social media in the recent past has provided end users a powerful platform to voice their opinions. Twitter, being one such platform, provides day-to-day updates on political events through different hashtags and trends. People provide their opinion by reacting on such political events. Our approach is to gather a collection of tweets of top political parties contesting within the General State election, 2022, then compute the sentiment score. Dataset contains mixture of both popular as well as recent tweets related to specific political party. Specific

KEYWORDS

are used to extract tweets for a party like ‘BJP elections 2022’ ‘#UPelections BJP’ ‘#Punjabelections BJP’ etc

Cite This Article

Shwetha Shree K, Niteesh Kumar HD, "A Systematic Review of Predicting Elections Based on Social Media Data," International Journal of Scientific Research in Engineering and Management, vol. 6, no. 7, Jul 2022. https://doi.org/10.55041/IJSREM15468

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Publication Date

7/23/2024

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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