Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/20592
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dc.contributor.authorPoria, Soujanya-
dc.contributor.authorGelbukh, Alexander-
dc.contributor.authorCambria, Erik-
dc.contributor.authorYang, Peipei-
dc.contributor.authorHussain, Amir-
dc.contributor.authorDurrani, Tariq-
dc.date.accessioned2016-12-07T02:44:19Z-
dc.date.available2016-12-07T02:44:19Z-
dc.date.issued2012-
dc.identifier.urihttp://hdl.handle.net/1893/20592-
dc.description.abstractSenticNet is currently one of the most comprehensive freely available semantic resources for opinion mining. However, it only provides numerical polarity scores, while more detailed sentiment-related information for its concepts is often desirable. Another important resource for opinion mining and sentiment analysis is WordNet-Affect, which in turn lacks quantitative information. We report a work on automatically merging these two resources by assigning emotion labels to more than 2700 concepts.en_UK
dc.language.isoen-
dc.publisherIEEE-
dc.relationPoria S, Gelbukh A, Cambria E, Yang P, Hussain A & Durrani T (2012) Merging SenticNet and WordNet-Affect emotion lists for sentiment analysis In: International Conference on Signal Processing Proceedings, ICSP, Piscataway, NJ: IEEE. 2012 IEEE 11th International Conference on Signal Processing (ICSP), 21.10.2012 - 25.10.2012, Beijing, China, pp. 1251-1255.-
dc.relation.ispartofseries2-
dc.rightsCopyright 2012 IEEE. Publisher policy states that authors are free to post the accepted version of their article on their personal Web sites or those of their employers.-
dc.subjectSentic computingen_UK
dc.subjectsentiment analysisen_UK
dc.subjectemotionsen_UK
dc.titleMerging SenticNet and WordNet-Affect emotion lists for sentiment analysisen_UK
dc.typeConference Paperen_UK
dc.identifier.doihttp://dx.doi.org/10.1109/ICoSP.2012.6491803-
dc.citation.spage1251-
dc.citation.epage1255-
dc.citation.publicationstatusPublished-
dc.type.statusBook Chapter: author post-print (pre-copy editing)-
dc.identifier.urlhttp://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=6491803&abstractAccess=no&userType=inst-
dc.author.emailamir.hussain@stir.ac.uk-
dc.citation.btitleInternational Conference on Signal Processing Proceedings, ICSP-
dc.citation.conferencedates2012-10-21T00:00:00Z-
dc.citation.conferencelocationBeijing, China-
dc.citation.conferencename2012 IEEE 11th International Conference on Signal Processing (ICSP)-
dc.citation.date10/2012-
dc.citation.isbn978-1-4673-2196-9-
dc.publisher.addressPiscataway, NJ-
dc.contributor.affiliationJadavpur University-
dc.contributor.affiliationNational Polytechnic Institute-
dc.contributor.affiliationNational University of Singapore-
dc.contributor.affiliationBeijing Information Science and Technology University, China-
dc.contributor.affiliationComputing Science - CSM Dept-
dc.contributor.affiliationComputing Science - CSM Dept-
Appears in Collections:Computing Science and Mathematics Conference Papers and Proceedings

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