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dc.contributor.authorVosoughi, Soroush
dc.contributor.authorRoy, Deb K.
dc.date.accessioned2016-06-21T19:10:02Z
dc.date.available2016-06-21T19:10:02Z
dc.date.issued2016-05
dc.identifier.urihttp://hdl.handle.net/1721.1/103174
dc.description.abstractSpeech acts are a way to conceptualize speech as action. This holds true for communication on any platform, including social media platforms such as Twitter. In this paper, we explored speech act recognition on Twitter by treating it as a multi-class classification problem. We created a taxonomy of six speech acts for Twitter and proposed a set of semantic and syntactic features. We trained and tested a logistic regression classifier using a data set of manually labelled tweets. Our method achieved a state-of-the-art performance with an average F1 score of more than 0.70. We also explored classifiers with three different granularities (Twitter-wide, type-specific and topic-specific) in order to find the right balance between generalization and overfitting for our task.en_US
dc.language.isoen_US
dc.publisherAssociation for the Advancement of Artificial Intelligence (AAAI)en_US
dc.relation.isversionofhttp://www.aaai.org/ocs/index.php/ICWSM/ICWSM16/paper/view/13171/12837en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceVosoughien_US
dc.titleTweet Acts: A Speech Act Classifier for Twitteren_US
dc.typeArticleen_US
dc.identifier.citationVosoughi, Soroush, and Deb Roy. "Tweet Acts: A Speech Act Classifier for Twitter." Tenth International AAAI Conference on Web and Social Media (ICWSM 2016), Cologne, Germany, 17-20 May 2016, AAAI, pp.711-714.en_US
dc.contributor.departmentProgram in Media Arts and Sciences (Massachusetts Institute of Technology)en_US
dc.contributor.approverVosoughi, Soroushen_US
dc.contributor.mitauthorVosoughi, Soroushen_US
dc.contributor.mitauthorRoy, Deb K.en_US
dc.relation.journalProceedings of the Tenth International AAAI Conference on Web and Social Media (ICWSM 2016)en_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dspace.orderedauthorsVosoughi, Soroush; Roy, Deben_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-2564-8909
dc.identifier.orcidhttps://orcid.org/0000-0002-4333-7194
mit.licenseOPEN_ACCESS_POLICYen_US


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