Toward finer-grained sentiment identification in product reviews through linguistic and ontological analyses

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 331
  • Download : 17
DC FieldValueLanguage
dc.contributor.authorMin, Hye-Jinko
dc.contributor.authorPark, Jong Cheolko
dc.date.accessioned2013-03-27T06:37:36Z-
dc.date.available2013-03-27T06:37:36Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued2009-08-04-
dc.identifier.citationJoint Conference of the 47th Annual Meeting of the Association for Computational Linguistics and 4th International Joint Conference on Natural Language Processing of the AFNLP, ACL-IJCNLP 2009, pp.169 - 172-
dc.identifier.urihttp://hdl.handle.net/10203/160023-
dc.description.abstractWe propose categories of finer-grained polarity for a more effective aspect-based sentiment summary, and describe linguistic and ontological clues that may affect such fine-grained polarity. We argue that relevance for satisfaction, contrastive weight clues, and certain adverbials work to affect the polarity, as evidenced by the statistical analysis.-
dc.languageEnglish-
dc.publisherThe Association for Computational Linguistics (ACL)-
dc.titleToward finer-grained sentiment identification in product reviews through linguistic and ontological analyses-
dc.typeConference-
dc.identifier.scopusid2-s2.0-78649839763-
dc.type.rimsCONF-
dc.citation.beginningpage169-
dc.citation.endingpage172-
dc.citation.publicationnameJoint Conference of the 47th Annual Meeting of the Association for Computational Linguistics and 4th International Joint Conference on Natural Language Processing of the AFNLP, ACL-IJCNLP 2009-
dc.identifier.conferencecountrySI-
dc.identifier.conferencelocationSuntec-
dc.embargo.liftdate9999-12-31-
dc.embargo.terms9999-12-31-
dc.contributor.localauthorPark, Jong Cheol-
dc.contributor.nonIdAuthorMin, Hye-Jin-
Appears in Collection
CS-Conference Papers(학술회의논문)
Files in This Item

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0