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dc.contributor.authorMohammad, Saif M.en_NZ
dc.contributor.authorBravo-Marquez, Felipeen_NZ
dc.coverage.spatialVancouver, Canada
dc.date.accessioned2017-11-24T01:21:27Z
dc.date.available2017en_NZ
dc.date.available2017-11-24T01:21:27Z
dc.date.issued2017en_NZ
dc.identifier.citationMohammad, S. M., & Bravo-Marquez, F. (2017). Emotion intensities in Tweets. In Proceedings of the 6th Joint Conference on Lexical and Computational Semantics (*SEM 2017) (pp. 65–77). Vancouver, Canada: Association for Computational Linguistics. https://doi.org/10.18653/v1/S17-1007en
dc.identifier.isbn978-1-945626-53-1en_NZ
dc.identifier.urihttps://hdl.handle.net/10289/11513
dc.description.abstractThis paper examines the task of detecting intensity of emotion from text. We create the first datasets of tweets annotated for anger, fear, joy, and sadness intensities. We use a technique called best–worst scaling (BWS) that improves annotation consistency and obtains reliable fine-grained scores. We show that emotion-word hashtags often impact emotion intensity, usually conveying a more intense emotion. Finally, we create a benchmark regression system and conduct experiments to determine: which features are useful for detecting emotion intensity; and, the extent to which two emotions are similar in terms of how they manifest in language.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherAssociation for Computational Linguisticsen_NZ
dc.relation.urihttp://aclweb.org/anthology/S17-1007
dc.rightsThis is an author’s accepted version of an article published in the Proceedings of the 6th Joint Conference on Lexical and Computational Semantics (*SEM 2017). © 2017 Association for Computational Linguistic
dc.source*SEM 2017en_NZ
dc.subjectcomputer scienceen_NZ
dc.titleEmotion intensities in Tweetsen_NZ
dc.typeConference Contribution
dc.identifier.doi10.18653/v1/S17-1007en_NZ
dc.relation.isPartOfProceedings of the 6th Joint Conference on Lexical and Computational Semantics (*SEM 2017)en_NZ
pubs.begin-page65
pubs.elements-id200771
pubs.end-page77
pubs.finish-date2017-08-04en_NZ
pubs.start-date2017-08-03en_NZ


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