arXiv 1912.029902019-12-06cs.CLcs.IRcs.LGcs.SI

SemEval-2014 Task 9: Sentiment Analysis in Twitter

Columbia University（哥伦比亚大学）；Qatar Computing Research Institute（卡塔尔计算研究所）；Carnegie Mellon University（卡内基梅隆大学）；Johns Hopkins University（约翰斯·霍普金斯大学）

Sara Rosenthal, Preslav Nakov, Alan Ritter, Veselin Stoyanov

备注：: Sentiment analysis, microblog sentiment analysis, Twitter opinion mining, sarcasm, LiveJournal, SMS
发表信息：: SemEval-2014

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英文摘要：

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 F1-score on (i) was achieved by NRC-Canada at 86.63 for subtask A and by TeamX at 70.96 for subtask B.

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