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- Vol. 5 Issue 2
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Election Prediction using Machine Learning
Authors
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.
Article Information
- Published In
- Volume 5, Issue 2 (2025)
- Published Online
- March-April 2025
- Pages
- 79-83
- Article Type
- Review Article
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Abstract
View PDFThis 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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