Dictionary-based sentiment analysis applied to a specific domain

dc.contributor.authorCruz Quispe, Laura Vanessa
dc.contributor.authorOchoa Luna, José Eduardo
dc.contributor.authorRoche, Mathieu
dc.contributor.authorPoncelet, Pascal
dc.date.accessioned2019-01-29T22:19:52Z
dc.date.available2019-01-29T22:19:52Z
dc.date.issued2017
dc.description.abstractThe web and social media have been growing exponentially in recent years. We now have access to documents bearing opinions expressed on a broad range of topics. This constitutes a rich resource for natural language processing tasks, particularly for sentiment analysis. Nevertheless, sentiment analysis is usually difficult because expressed sentiments are usually topic-oriented. In this paper, we propose to automatically construct a sentiment dictionary using relevant terms obtained from web pages for a specific domain. This dictionary is initially built by querying the web with a combination of opinion terms, as well as terms of the domain. In order to select only relevant terms we apply two measures AcroDefMI3 and TrueSkill. Experiments conducted on different domains highlight that our automatic approach performs better for specific cases. © Springer International Publishing AG 2017.es_PE
dc.description.uriTrabajo de investigaciónes_PE
dc.identifier.doihttps://doi.org/10.1007/978-3-319-55209-5_5es_PE
dc.identifier.issn18650929es_PE
dc.identifier.urihttps://hdl.handle.net/20.500.12590/15813
dc.language.isoenges_PE
dc.publisherSpringer Verlages_PE
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85015214674&doi=10.1007%2f978-3-319-55209-5_5&partnerID=40&md5=fccea3d9e8164fefb7ef2acf0648911ces_PE
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_PE
dc.sourceRepositorio Institucional - UCSPes_PE
dc.sourceUniversidad Católica San Pabloes_PE
dc.sourceScopuses_PE
dc.subjectData mininges_PE
dc.subjectInformation managementes_PE
dc.subjectNatural language processing systemses_PE
dc.subjectWebsiteses_PE
dc.subjectAutomatic approacheses_PE
dc.subjectDifferent domainses_PE
dc.subjectNAtural language processinges_PE
dc.subjectSentiment analysises_PE
dc.subjectSentiment dictionarieses_PE
dc.subjectText mininges_PE
dc.subjectTopic-orientedes_PE
dc.subjectWeb Mininges_PE
dc.subjectBig dataes_PE
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#1.02.00es_PE
dc.titleDictionary-based sentiment analysis applied to a specific domaines_PE
dc.typeinfo:eu-repo/semantics/articlees_PE
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