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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.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.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.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.titleMerging SenticNet and WordNet-Affect emotion lists for sentiment analysisen_UK
dc.typeConference Paperen_UK
dc.type.statusBook Chapter: author post-print (pre-copy editing)-
dc.citation.btitleInternational Conference on Signal Processing Proceedings, ICSP-
dc.citation.conferencelocationBeijing, China-
dc.citation.conferencename2012 IEEE 11th International Conference on Signal Processing (ICSP)-
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-
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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