Please use this identifier to cite or link to this item: http://hdl.handle.net/10316/35576
DC FieldValueLanguage
dc.contributor.advisorRibeiro, Bernardete Martins-
dc.contributor.authorGeadas, Pedro-
dc.date.accessioned2017-01-13T12:17:02Z-
dc.date.available2017-01-13T12:17:02Z-
dc.date.issued2013-09-20por
dc.identifier.urihttp://hdl.handle.net/10316/35576-
dc.descriptionDissertação de Mestrado em Engenharia Informática apresentada à Faculdade de Ciências e Tecnologia da Universidade de Coimbrapor
dc.description.abstractNowadays, the most relevant events occurring in the city are advertised on-line, generally through small textual descriptions. The exponential growth of the Web often hampers the task of finding relevant information, turning the existence of good information extraction and summarization methods in a necessity. As such, the main goal of this dissertation is to develop an ensemble learning application for automatically extracting keywords from those event textual descriptions, since using human indexers is slow and expensive. Through rich information on events, one should be able to understand its mobility implications and possibly correlate both, allowing to foreseeing eventual repercussions that a specific event may cause in the city’s normal behavior. The proposed application intends to apply Supervised Machine Learning approaches, namely from known automatic keyword extraction systems, retrieving a set of keywords as output from the event descriptions usually found in theWebpor
dc.language.isoengpor
dc.rightsopenAccesspor
dc.subjectKeywordpor
dc.subjectKeyphrasepor
dc.subjectAutomatic Keyword Extractionpor
dc.subjectEnsemble learningpor
dc.subjectArtificial Intelligencepor
dc.subjectMachine Learningpor
dc.subjectSupervised Machine Learningpor
dc.subjectInformation Extractionpor
dc.subjectInformation Retrievalpor
dc.titleEnsemble Learning for Keyword Extractionpor
dc.typemasterThesispor
degois.publication.locationCoimbrapor
degois.publication.titleEnsemble Learning for Keyword Extractionpor
dc.identifier.tid201539306por
thesis.degree.grantorUniversidade de Coimbrapor
thesis.degree.nameMestrado em Engenharia Informáticapor
uc.degree.grantorUnit0501 - Faculdade de Ciências e Tecnologiapor
uc.controloAutoridadeSim-
item.fulltextCom Texto completo-
item.languageiso639-1en-
item.grantfulltextopen-
crisitem.advisor.deptFaculdade de Ciências e Tecnologia, Universidade de Coimbra-
crisitem.advisor.parentdeptUniversidade de Coimbra-
crisitem.advisor.researchunitCENTRE FOR INFORMATICS AND SYSTEMS OF THE UNIVERSITY OF COIMBRA-
crisitem.advisor.orcid0000-0002-9770-7672-
Appears in Collections:UC - Dissertações de Mestrado
FCTUC Eng.Informática - Teses de Mestrado
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