Unveiling the Power of Twitter: Sentiment Analysis for Election Prediction in India using Hybrid Model

Authors

  • Ambuj Kumar Research Scholar, Department of Computer Science, BITS, Bhopal
  • Pankaj Richhariya Head of Department, Department of Computer Science, BITS, Bhopal

Keywords:

Election, Election Prediction, Machine Learning, Twitter, Hybrid Model

Abstract

Every year, elections are held in India to choose new government officials. In the modern era, it's common practice to try to guess the results of elections months in advance. In the past few years, social media sites like Twitter, WhatsApp, & Facebook have grown to be major information resources. These sites provide an environment where anybody having internet access may voice their thoughts and ideas. Predicting the results of the Indian general election using sentiment analysis is the focus of this study. The purpose of this study is to analyze the efficacy of many machine learning algorithms for forecasting the results of elections through the analysis of the sentiments of tweets about political organizations. A number of different machine learning techniques, such as “Logistic Regression (LR)”, “Random Forests”, “Gradient Boosting (GB)”, “SVM”, “Multinomial Naive Bayes”, and a suggested hybrid theory, were applied. The effectiveness of the algorithms was measured by their ability to correctly predict the results of the elections. The assessment results indicated that the suggested hybrid model had the highest accuracy (88.93%) compared to the other methods.

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Published

13-07-2023

Issue

Vol 2 Issue 3 (Jul- Sep 2023)

Section

Articles

License

Copyright (c) 2023 Ambuj Kumar, Pankaj Richhariya

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This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Re-users must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. This license allows for redistribution, commercial and non-commercial, as long as the original work is properly credited.

How to Cite

[1]
Ambuj Kumar and Pankaj Richhariya 2023. Unveiling the Power of Twitter: Sentiment Analysis for Election Prediction in India using Hybrid Model. International Journal of Innovations in Science, Engineering And Management. 2, 3 (Jul. 2023), 12–18.