articleJan 1, 2014GOLD OA

SemEval-2014 Task 9: Sentiment Analysis in Twitter

Columbia University · Carnegie Mellon University · +1 more institution

Indexed incrossref

Abstract

We describe the Sentiment Analysis in Twitter task, ran as part of SemEval-2014. It is a continuation of the last year's task that ran successfully as part of SemEval-2013. As in 2013, this was the most popular SemEval task; a total of 46 teams contributed 27 submissions for subtask A (21 teams) and 50 submissions for subtask B (44 teams). This year, we introduced three new test sets: (i) regular tweets, (ii) sarcastic tweets, and (iii) LiveJournal sentences. We further tested on (iv) 2013 tweets, and (v) 2013 SMS messages. The highest F1score on (i) was achieved by NRC-Canada at 86.63 for subtask A and by TeamX at 70.96 for subtask B.

Citation impact

618
total citations
FWCI
132.09
Percentile
100%
References
23
Citations per year

Authors

4

Topics & keywords

Keywords
  • SemEval
  • Task (project management)
  • Computer science
  • Sentiment analysis
  • Natural language processing
  • Artificial intelligence
  • Test (biology)
  • World Wide Web
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