Paper: ECNUCS: A Surface Information Based System Description of Sentiment Analysis in Twitter in the SemEval-2013 (Task 2)

ACL ID S13-2067
Title ECNUCS: A Surface Information Based System Description of Sentiment Analysis in Twitter in the SemEval-2013 (Task 2)
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2013
Authors

This paper briefly reports our submissions to the two subtasks of Semantic Analysis in Twitter task in SemEval 2013 (Task 2), i.e., the Contextual Polarity Disambiguation task (an expression-level task) and the Message Polarity Classification task (a message-level task). We extract features from surface infor- mation of tweets, i.e., content features, Micro- blogging features, emoticons, punctuation and sentiment lexicon, and adopt SVM to build classifier. For subtask A, our system on twit- ter data ranks 2 on unconstrained rank and on SMS data ranks 1 on unconstrained rank.