SemEval-2016 task 7: determining sentiment intensity of English and Arabic phrases

DOIResolve DOI: http://doi.org/10.18653/v1/S16-1004
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TypeArticle
Proceedings titleProceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)
Conference10th International Workshop on Semantic Evaluation (SemEval-2016), 16-17 June 2016, San Diego, California, USA
Pages4251
AbstractWe present a shared task on automatically determining sentiment intensity of a word or a phrase. The words and phrases are taken from three domains: general English, English Twit-ter, and Arabic Twitter. The phrases include those composed of negators, modals, and degree adverbs as well as phrases formed by words with opposing polarities. For each of the three domains, we assembled the datasets that include multi-word phrases and their constituent words, both manually annotated for real-valued sentiment intensity scores. The three datasets were presented as the test sets for three separate tasks (each focusing on a specific domain). Five teams submitted nine system outputs for the three tasks. All datasets created for this shared task are freely available to the research community.
Publication date
PublisherAssociation for Computational Linguistics
LanguageEnglish
AffiliationInformation and Communication Technologies; National Research Council Canada
Peer reviewedYes
NPARC number23001912
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Record identifierf75408dc-0a13-42f6-968f-154cd3f7c5d6
Record created2017-05-24
Record modified2017-05-24
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