SemEval-2015 Task 10: Sentiment Analysis in Twitter

December 05, 2019 ยท Declared Dead ยท ๐Ÿ› International Workshop on Semantic Evaluation

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Authors Sara Rosenthal, Saif M Mohammad, Preslav Nakov, Alan Ritter, Svetlana Kiritchenko, Veselin Stoyanov arXiv ID 1912.02387 Category cs.CL: Computation & Language Cross-listed cs.IR, cs.LG Citations 426 Venue International Workshop on Semantic Evaluation Last Checked 3 months ago
Abstract
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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