Domain-specific sentiment analysis using contextual feature generation

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dc.contributor.authorChoi, Y.-
dc.contributor.authorKim, Y.-
dc.contributor.authorMyaeng, Sung Hyon-
dc.date.accessioned2010-03-03T08:28:14Z-
dc.date.available2010-03-03T08:28:14Z-
dc.date.created2012-02-06-
dc.date.issued2009-11-02-
dc.identifier.citation1st International CIKM Workshop on Topic-Sentiment Analysis for Mass Opinion Measurement, TSA'09, Co-located with the 18th ACM International Conference on Information and Knowledge Management, CIKM 2009, v., no., pp.37 - 44-
dc.identifier.urihttp://hdl.handle.net/10203/16883-
dc.description.sponsorshipThis work was financially supported by Microsoft Research Asia, the grant from the strategic technology development problem 2008-F-047-02 of the MKE, and the MKE(The Ministry of Knowledge Economy), Korea, under the ITRC(Information Technology Research Center) support program supervised by the NIPA(National It Industry Promotion Agency” (NIPA-2009-(C1090-0903-0008)).en
dc.languageENG-
dc.language.isoen_USen
dc.publisherAssociation for Computing Machinery (ACM)-
dc.titleDomain-specific sentiment analysis using contextual feature generation-
dc.typeConference-
dc.identifier.scopusid2-s2.0-74049089277-
dc.type.rimsCONF-
dc.citation.beginningpage37-
dc.citation.endingpage44-
dc.citation.publicationname1st International CIKM Workshop on Topic-Sentiment Analysis for Mass Opinion Measurement, TSA'09, Co-located with the 18th ACM International Conference on Information and Knowledge Management, CIKM 2009-
dc.identifier.conferencecountryHong Kong-
dc.identifier.conferencecountryHong Kong-
dc.contributor.localauthorMyaeng, Sung Hyon-
dc.contributor.nonIdAuthorChoi, Y.-
dc.contributor.nonIdAuthorKim, Y.-

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