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Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/20580
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dc.contributor.authorPoria, Soujanyaen_UK
dc.contributor.authorGelbukh, Alexanderen_UK
dc.contributor.authorHussain, Amiren_UK
dc.contributor.authorHoward, Newtonen_UK
dc.contributor.authorDas, Dipankaren_UK
dc.contributor.authorBandyopadhyay, Sivajien_UK
dc.date.accessioned2018-01-25T01:08:40Z-
dc.date.available2018-01-25T01:08:40Zen_UK
dc.date.issued2013-03en_UK
dc.identifier.urihttp://hdl.handle.net/1893/20580-
dc.description.abstractSenticNet 1.0 is one of the most widely used, publicly available resources for concept-based opinion mining. The presented methodology enriches SenticNet concepts with affective information by assigning an emotion label.en_UK
dc.language.isoenen_UK
dc.publisherIEEEen_UK
dc.relationPoria S, Gelbukh A, Hussain A, Howard N, Das D & Bandyopadhyay S (2013) Enhanced SenticNet with affective labels for concept-based opinion mining. IEEE Intelligent Systems, 28 (2), pp. 31-38. https://doi.org/10.1109/MIS.2013.4en_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.titleEnhanced SenticNet with affective labels for concept-based opinion miningen_UK
dc.typeJournal Articleen_UK
dc.rights.embargodate3000-01-01en_UK
dc.rights.embargoreason[IS-28-02.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.identifier.doi10.1109/MIS.2013.4en_UK
dc.citation.jtitleIEEE Intelligent Systemsen_UK
dc.citation.issn1541-1672en_UK
dc.citation.volume28en_UK
dc.citation.issue2en_UK
dc.citation.spage31en_UK
dc.citation.epage38en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.author.emailamir.hussain@stir.ac.uken_UK
dc.contributor.affiliationJadavpur Universityen_UK
dc.contributor.affiliationNational Polytechnic Instituteen_UK
dc.contributor.affiliationComputing Scienceen_UK
dc.contributor.affiliationMassachusetts Institute of Technologyen_UK
dc.contributor.affiliationNational Institute of Technology, Indiaen_UK
dc.contributor.affiliationJadavpur Universityen_UK
dc.identifier.isiWOS:000321072700008en_UK
dc.identifier.scopusid2-s2.0-84875860874en_UK
dc.identifier.wtid686928en_UK
dc.contributor.orcid0000-0002-8080-082Xen_UK
dcterms.dateAccepted2013-03-31en_UK
dc.date.filedepositdate2014-07-08en_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorPoria, Soujanya|en_UK
local.rioxx.authorGelbukh, Alexander|en_UK
local.rioxx.authorHussain, Amir|0000-0002-8080-082Xen_UK
local.rioxx.authorHoward, Newton|en_UK
local.rioxx.authorDas, Dipankar|en_UK
local.rioxx.authorBandyopadhyay, Sivaji|en_UK
local.rioxx.projectInternal Project|University of Stirling|https://isni.org/isni/0000000122484331en_UK
local.rioxx.freetoreaddate3000-01-01en_UK
local.rioxx.licencehttp://www.rioxx.net/licenses/under-embargo-all-rights-reserved||en_UK
local.rioxx.filenameIS-28-02.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source1541-1672en_UK
Appears in Collections:Computing Science and Mathematics Journal Articles

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