Developing a successful SemEval task in sentiment analysis of Twitter and other social media texts

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DOIResolve DOI: http://doi.org/10.1007/s10579-015-9328-1
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TypeArticle
Journal titleLanguage Resources and Evaluation
ISSN1574-020X
Volume50
Issue1
Pages3565; # of pages: 31
Abstract
Publication date
PublisherSpringer International Publishing
LanguageEnglish
AffiliationNational Research Council Canada; Information and Communication Technologies
Peer reviewedYes
NPARC number21277502
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Record identifier88c97a2d-bed6-4055-912a-8af5ff4f19b2
Record created2016-03-09
Record modified2016-05-09
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