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dc.contributorMàrquez Villodre, Lluís
dc.contributor.authorFiz Pontiveros, Beltrán Borja
dc.date.accessioned2012-11-07T15:43:51Z
dc.date.available2012-11-07T15:43:51Z
dc.date.issued2012-09
dc.identifier.urihttp://hdl.handle.net/2099.1/16496
dc.description.abstractThis master thesis is focused on the development of a system for automatically processing a large database of textual hotel reviews in natural language to extract relevant opinions from users on a series of predefined features of quality (service, food, location, etc) The information extracted has to be categorized according to polarity (positive/negative opinions) and arranged so that the final search application can use it to display complementary information of each hotel based on the extracted opinions. Initially a set of hotel reviews is data mined from online sources; a subset of this dataset is then filtered and manually annotated to create a corpus and to help with the creation of a taxonomy for the domain of hotel reviews. A system is then designed to detect, extract and evaluate opinions, and evaluated using the corpus built.
dc.language.isoeng
dc.publisherUniversitat Politècnica de Catalunya
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Llenguatge natural
dc.subject.lcshNatural language processing (Computer science)
dc.subject.lcshData mining
dc.titleOpinion mining from a large corpora of natural language reviews
dc.typeMaster thesis
dc.subject.lemacTractament del llenguatge natural (Informàtica)
dc.subject.lemacMineria de dades
dc.rights.accessOpen Access
dc.audience.educationlevelMàster
dc.audience.mediatorFacultat d'Informàtica de Barcelona
dc.audience.degreeMÀSTER UNIVERSITARI EN INTEL·LIGÈNCIA ARTIFICIAL (Pla 2009)


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