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.
UNIBA: Sentiment Analysis of English Tweets Combining Micro-blogging, Lexicon and Semantic Features
BASILE, PIERPAOLO;NOVIELLI, NICOLE
2015-01-01
Abstract
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.File in questo prodotto:
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