arXiv 1912.023872019-12-05cs.CLcs.IRcs.LG

SemEval-2015 Task 10: Sentiment Analysis in Twitter

Columbia University（哥伦比亚大学）；National Research Council Canada（加拿大国家研究委员会）；Qatar Computing Research Institute（卡塔尔计算研究所）；The Ohio State University（俄亥俄州立大学）；Facebook（脸书）

Sara Rosenthal, Saif M Mohammad, Preslav Nakov, Alan Ritter, Svetlana Kiritchenko, Veselin Stoyanov

备注：: Sentiment analysis, sentiment towards a topic, quantification, microblog sentiment analysis; Twitter opinion mining
发表信息：: SemEval-2015

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英文摘要：

In this paper, we describe the 2015 iteration of the SemEval shared task on Sentiment Analysis in Twitter. This was the most popular sentiment analysis shared task to date with more than 40 teams participating in each of the last three years. This year's shared task competition consisted of five sentiment prediction subtasks. Two were reruns from previous years: (A) sentiment expressed by a phrase in the context of a tweet, and (B) overall sentiment of a tweet. We further included three new subtasks asking to predict (C) the sentiment towards a topic in a single tweet, (D) the overall sentiment towards a topic in a set of tweets, and (E) the degree of prior polarity of a phrase.

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