| Author | Search for: Rosenthal, Sara; Search for: Nakov, Preslav; Search for: Kiritchenko, Svetlana1; Search for: Mohammad, Saif1; Search for: Ritter, Alan; Search for: Stoyanov, Veselin |
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| Affiliation | - National Research Council of Canada. Information and Communication Technologies
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| Format | Text, Article |
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| Conference | 9th International Workshop on Semantic Evaluation (SemEval-2015), 4-5 June 2015, Denver, Colorado, USA |
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| 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 sub- tasks. 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 sub- tasks asking to predict (C) the sentiment to- wards a topic in a single tweet, (D) the over- all sentiment towards a topic in a set of tweets, and (E) the degree of prior polarity of a phrase. |
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| Publication date | 2015 |
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| Publisher | Association for Computational Linguistics |
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| In | |
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| Language | English |
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| Peer reviewed | Yes |
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| NPARC number | 23001914 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | 6afbdfea-d6b7-47b0-ac6e-a03cc6c79f16 |
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| Record created | 2017-05-24 |
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| Record modified | 2020-04-22 |
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