UNIBA: Sentiment Analysis of English Tweets Combining Micro-blogging, Lexicon and Semantic Features

摘要

This paper describes the UNIBA team participation in the Sentiment Analysis in Twitter task (Task 10) at SemEval-2015. We propose a supervised approach relying on keyword, lexicon and micro-blogging features as well as representation of tweets in a word space.