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Election Forecasting with Social Media Data

Falak Jan, Afaq Alam Khan



The proliferation of social media has provided people with the platform where they can voice their opinions, which in turn has increased the amount of data available to discover user orientation and thereby come up with smarter plans or decisions. One such application is in the field of politics where the sentiments from data are analyzed to understand the opinion of general public that can be used for election prediction. This paper builds on existing literature that includes the most related and recent research, the techniques that are pursued for predicting the election outcome and the methodology that have been used to address some of the limitations present in existing literature like sample representativeness. The model achieves comparable result to those of existing methods.


Social media, sentiments, politics, opinion, election prediction, sample representativeness

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