SemEval-2015 task 10: sentiment analysis in twitter

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TypeArticle
Proceedings titleProceedings of the 9th International Workshop on Semantic Evaluation (SemEval-2015)
Conference9th International Workshop on Semantic Evaluation (SemEval-2015), 4-5 June 2015, Denver, Colorado, USA
Pages451463
AbstractIn 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.
Publication date
PublisherAssociation for Computational Linguistics
LanguageEnglish
AffiliationNational Research Council Canada; Information and Communication Technologies
Peer reviewedYes
NPARC number23001914
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Record identifier6afbdfea-d6b7-47b0-ac6e-a03cc6c79f16
Record created2017-05-24
Record modified2017-05-24
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