Lexicon based Sentiment Analysis in Social Media
Presented at SemEval, June 2013, Atlanta, GA.
This paper describes the system developed by the Serendio team for the SemEval-2013 Task 2 competition (Task A). We use a lexicon based approach for discovering sentiments. Our lexicon is built from the Serendio taxonomy. The Serendio taxonomy consists of positive, negative, negation, stop words and phrases.