PSent20: An Effective Political Sentiment Analysis with Deep Learning Using Real-Time Social Media Tweets

摘要

In the current era of computing, the use of social networking sites like Twitter and Facebook, is growing significantly over time. People from different cultures and backgrounds share vast volumes of textual comments that show their viewpoints on several aspects of life and make them available to all for commenting. Monitoring real social media activities has now become a prime concern for politicians in understanding their social image. In this paper, we are going to analyse the tweets of various social media platforms regarding two prominent political leaders and classify them as positive, negative or neutral using Machine Learning and Deep Learning methods. We have proposed a Deep Learning approach for a better solution. Our proposed model has provided state-of-the-art results using Deep Learning models.