DUTH at SemEval-2017 Task 4: A Voting Classification Approach for Twitter Sentiment Analysis
2017-08-01SEMEVAL 2017Unverified0· sign in to hype
Symeon Symeonidis, Dimitrios Effrosynidis, John Kordonis, Avi Arampatzis
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This report describes our participation to SemEval-2017 Task 4: Sentiment Analysis in Twitter, specifically in subtasks A, B, and C. The approach for text sentiment classification is based on a Majority Vote scheme and combined supervised machine learning methods with classical linguistic resources, including bag-of-words and sentiment lexicon features.