Election Result Prediction Using Machine Learning and Twitter

Authors

  • Ganga Sirisha, G.Prashanthi, Karpa Pooja, Chowdary Kolipaka3, Lahari K.Vaishnavi

Keywords:

Election Result Prediction, Machine Learning, Twitter Data, Predictive Analytics, Social Media Analysis, Data Mining, Sentiment Analysis, Feature Extraction, Classification Algorithms, Political Forecasting.

Abstract

Elections are pivotal events in democratic societies, and timely prediction of their outcomes providesinvaluable insights for political strategists and the public alike. This study introduces a novel approach that leveragesmachine learning techniques in conjunction with Twitter data to forecast election results

References

B. Joyce and J. Deng, "Sentiment analysis of tweets for the 2016 US presidential election," 2017 IEEE MIT Undergraduate Research Technology Conference (URTC), Cambridge, MA, 2017, pp. 1-4.

P. Sharma and T. Moh, "Prediction of Indian election using sentiment analysis on Hindi Twitter," 2016 IEEE International Conference on Big Data (Big Data), Washington, DC, 2016, pp. 1966-1971.

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Published

2024-05-27

How to Cite

Ganga Sirisha, G.Prashanthi, Karpa Pooja, Chowdary Kolipaka3, Lahari K.Vaishnavi. (2024). Election Result Prediction Using Machine Learning and Twitter. Journal of Computational Analysis and Applications (JoCAAA), 33(05), 1302–1305. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/2491

Issue

Section

Articles