Optimizing Election Prediction on Multiple Social Media Platforms Using Machine Learning

Abstract

Now day’s users of social media platform have increased in rapid growth. Influence of social media on users increased. This paper has presented an optimized method for election trend prediction by use of ensemble machine learning technique. The developed method worked by collecting data from heterogeneous social media platforms. It is a challenge to know election prediction from different social media platforms. Method have used facebook, twitter &youtube platform. The developed method has achieved 94.4 % accuracy. The method has also been evaluated with other existing methods.