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Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/26397
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dc.contributor.authorCambria, Eriken_UK
dc.contributor.authorSpeer, Roberten_UK
dc.contributor.authorHavasi, Catherineen_UK
dc.contributor.authorHussain, Amiren_UK
dc.date.accessioned2017-12-21T02:26:47Z-
dc.date.available2017-12-21T02:26:47Zen_UK
dc.date.issued2010en_UK
dc.identifier.urihttp://hdl.handle.net/1893/26397-
dc.description.abstractToday millions of web-users express their opinions about many topics through blogs, wikis, fora, chats and social networks. For sectors such as e-commerce and e-tourism, it is very useful to automatically analyze the huge amount of social information available on the Web, but the extremely unstructured nature of these contents makes it a difficult task. SenticNet is a publicly available resource for opinion mining built exploiting AI and Semantic Web techniques. It uses dimensionality reduction to infer the polarity of common sense concepts and hence provide a public resource for mining opinions from natural language text at a semantic, rather than just syntactic, level.en_UK
dc.language.isoenen_UK
dc.publisherAAAI Pressen_UK
dc.relationCambria E, Speer R, Havasi C & Hussain A (2010) SenticNet: A publicly available semantic resource for opinion mining. In: Commonsense Knowledge: Papers from the AAAI Fall Symposium. Fall Symposium Series Technical Reports, FS-10-02. 2010 AAAI Fall Symposium, Arlington, VA, USA, 11.11.2010-13.11.2010. Menlo Park, CA, USA: AAAI Press, pp. 14-18. http://www.aaai.org/Press/Reports/Symposia/Fall/fall-reports.phpen_UK
dc.relation.ispartofseriesFall Symposium Series Technical Reports, FS-10-02en_UK
dc.relation.urihttps://www.aaai.org/Symposia/Fall/fss10.phpen_UK
dc.rightsThe publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.en_UK
dc.rights.urihttp://www.rioxx.net/licenses/under-embargo-all-rights-reserveden_UK
dc.subjectAIen_UK
dc.subjectSemantic Weben_UK
dc.subjectOpinion Miningen_UK
dc.titleSenticNet: A publicly available semantic resource for opinion miningen_UK
dc.typeConference Paperen_UK
dc.rights.embargodate3000-12-01en_UK
dc.rights.embargoreason[2216-9491-1-PB.pdf] The publisher does not allow this work to be made publicly available in this Repository therefore there is an embargo on the full text of the work.en_UK
dc.citation.spage14en_UK
dc.citation.epage18en_UK
dc.citation.publicationstatusPublisheden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.identifier.urlhttp://www.aaai.org/Press/Reports/Symposia/Fall/fall-reports.phpen_UK
dc.author.emailamir.hussain@stir.ac.uken_UK
dc.citation.btitleCommonsense Knowledge: Papers from the AAAI Fall Symposiumen_UK
dc.citation.conferencedates2010-11-11 - 2010-11-13en_UK
dc.citation.conferencelocationArlington, VA, USAen_UK
dc.citation.conferencename2010 AAAI Fall Symposiumen_UK
dc.publisher.addressMenlo Park, CA, USAen_UK
dc.contributor.affiliationUniversity of Stirlingen_UK
dc.contributor.affiliationMassachusetts Institute of Technologyen_UK
dc.contributor.affiliationMassachusetts Institute of Technologyen_UK
dc.contributor.affiliationComputing Scienceen_UK
dc.identifier.scopusid2-s2.0-79960150095en_UK
dc.identifier.wtid686375en_UK
dc.contributor.orcid0000-0002-8080-082Xen_UK
dcterms.dateAccepted2010-12-31en_UK
dc.date.filedepositdate2017-12-20en_UK
rioxxterms.typeConference Paper/Proceeding/Abstracten_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorCambria, Erik|en_UK
local.rioxx.authorSpeer, Robert|en_UK
local.rioxx.authorHavasi, Catherine|en_UK
local.rioxx.authorHussain, Amir|0000-0002-8080-082Xen_UK
local.rioxx.projectInternal Project|University of Stirling|https://isni.org/isni/0000000122484331en_UK
local.rioxx.freetoreaddate3000-12-01en_UK
local.rioxx.licencehttp://www.rioxx.net/licenses/under-embargo-all-rights-reserved||en_UK
local.rioxx.filename2216-9491-1-PB.pdfen_UK
local.rioxx.filecount1en_UK
Appears in Collections:Computing Science and Mathematics Conference Papers and Proceedings

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