ECNUCS: A surface information based system description of sentiment analysis in twitter in the SemEval-2013 (Task 2)

  • Tian Tian Zhu
  • , Fang Xi Zhang
  • , Man Lan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

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 information 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 twitter data ranks 2 on unconstrained rank and on SMS data ranks 1 on unconstrained rank.

Original languageEnglish
Title of host publication*SEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics
PublisherAssociation for Computational Linguistics (ACL)
Pages408-413
Number of pages6
ISBN (Electronic)9781937284497
StatePublished - 2013
Event2nd Joint Conference on Lexical and Computational Semantics, *SEM 2013 - Atlanta, United States
Duration: 13 Jun 201314 Jun 2013

Publication series

Name*SEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics
Volume2

Conference

Conference2nd Joint Conference on Lexical and Computational Semantics, *SEM 2013
Country/TerritoryUnited States
CityAtlanta
Period13/06/1314/06/13

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