A Hybrid Method for Sentiment Analysis of Election Related Tweets
Dimosthenis Beleveslis, Christos Tjortjis, Dimitris Psaradelis, Dimitris Nikoglou · 2019
Political sentiment analysis using social media content has recently attracted significant interest. This paper focuses on analyzing tweets in Greek regarding the recent European Elections. A hybrid method that combines Greek lexicons and classification methods is presented. A probabilistic classification model, that predicts the sentiment of tweets, is combined with hashtag-based filtering. Based on the predictions, an analysis is implemented, that shows how the public sentiment was affected by specific events during the pre-election period.