Proceedings of the 6th International Conference on Intelligent Computing (ICIC-6 2023)

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Predictive Modeling of Public Opinion for Karnataka Elections using Twitter Data Analysis

Authors
Annie Syrien1, *, M. Hanumanthappa2
1Department of Computer Applications, Banglore University, Bengalore, India
2Department of Computer Applications, Banglore University, Bengalore, India
*Corresponding author. Email: annie.syrien@sju.edu.in
Corresponding Author
Annie Syrien
Available Online 17 October 2023.
DOI
10.2991/978-94-6463-250-7_30How to use a DOI?
Keywords
—LSTM; Twitter; Karnataka Elections; Deep Learning models; Machine Learning
Abstract

The Karnataka state assembly elections have brought a new perspective to the political landscape, with diverse candidates representing various parties vying for the people's choice. This research work provides new insights into the predictive aspects of the Karnataka elections. Through the use of Deep Learning models applied to data collected from Twitter, the sentiments and past experiences of the ruling party were analyzed to predict the future elected party. The focus is on the public's sentiments with regards to the hopes for democratic policies in the future. The data was collected through the Twitter API and transformed into a well-structured format for training the model with a 70:30 ratio. The performance metric of the model is tabulated. Data exhibits mixture of opinions from the people of Karnataka towards the ruling party. While some tweets expressed confidence in the change of government formation in the future, others expressed concerns on religion and anti-national statements in a sarcastic manner. The LSTM model produced results with an accuracy of 87%.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 6th International Conference on Intelligent Computing (ICIC-6 2023)
Series
Advances in Computer Science Research
Publication Date
17 October 2023
ISBN
10.2991/978-94-6463-250-7_30
ISSN
2352-538X
DOI
10.2991/978-94-6463-250-7_30How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Annie Syrien
AU  - M. Hanumanthappa
PY  - 2023
DA  - 2023/10/17
TI  - Predictive Modeling of Public Opinion for Karnataka Elections using Twitter Data Analysis
BT  - Proceedings of the 6th International Conference on Intelligent Computing (ICIC-6 2023)
PB  - Atlantis Press
SP  - 172
EP  - 177
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-250-7_30
DO  - 10.2991/978-94-6463-250-7_30
ID  - Syrien2023
ER  -