An Analysis of Election Prediction Base on Various Machine Learning Model

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Sanjay Kumar Gupta, Dr. Abhishek Badholia


Today social media network has provided a huge user generated contents for research and analysis of any government policy, products, organization and any topics. Social media groups have many correlated users for sharing information. Research on these data will provide benefit to individuals, groups, organizations or parties. Election campaigning and outcomes has also been affected by it. Today social news can became agenda of election also. Political parties will uses SMN as a tool for election campaigning. As elections main concentration are youth, and mostly youth are on social network, election outcome will also be predicted by performing research and analysis on this.Worldwide election prediction can be performed by using various techniques like sentiment analysis, machine learning, deep learning etc. This paper present review of various researches performed on social media election prediction.

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