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Election Prediction using Machine Learning
¹Assistant Professor, Computer Science and Engineering, Sanketika Vidya Parishad Engineering College, Visakhapatnam, Andhra Pradesh, India. ²,³,⁴,⁵ Student, Computer Science and Engineering, Sanketika Vidya Parishad Engineering College, Visakhapatnam, Andhra Pradesh, India.
Published Online: March-April 2025
Pages: 79-83
Cite this article
↗ https://www.doi.org/10.59256/ijsreat.20250502012
This project develops a sentiment analysis system for election prediction by analyzing tweets about political leaders. The system uses machine learning, specifically a Passive Aggressive Classifier, along with text preprocessing techniques like TF-IDF vectorization to classify tweets as positive or negative. A Flask web application is built to allow users to upload a CSV file containing tweets, process the data, and visualize the sentiment distribution through a pie chart. The system provides insights into public sentiment, assisting in predicting election outcomes based on social media opinions.
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