ELECTION RESULT PREDICTION






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ELECTION RESULT PREDICTION

Mr. GOWTHAM TJ
Mr. THIRUPPUGAL S
Ms. NARMATHA
Department of Artificial Intelligence and Machine Learning

Sri Shakthi Institute of Engineering and Technology Coimbatore, India

Abstract— This study utilizes Text Blob for sentiment analysis of social media and news data to predict election results. By analyzing sentiment polarity, a comprehensive understanding of public opinion towards political entities is obtained. Machine learning algorithms are employed to build predictive models using historical election data. Results demonstrate the effectiveness of sentiment analysis in enhancing prediction accuracy compared to traditional methods. This research has implications for political campaigns and policymakers in gauging public sentiment and anticipating electoral outcomes.

Keywords— Text Blob, sentiment analysis, election prediction, social media, machine learning.

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