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dc.contributor.authorAlkorta, Jon
dc.contributor.authorGojenola Galletebeitia, Koldobika
dc.contributor.authorIruskieta Quintian, Mikel
dc.date.accessioned2020-10-06T18:00:53Z
dc.date.available2020-10-06T18:00:53Z
dc.date.issued2016
dc.identifier.citationGogoa 14 : 131-152 (2016)
dc.identifier.issn1577-9424
dc.identifier.urihttp://hdl.handle.net/10810/46558
dc.description.abstractNowadays, opinion texts play an important role, in fact, people read opinions before they do an activity, buy a product or take a decision. However, the amount of opinion text is increasing rapidly and reading all opinions about a subject is unfeasible. ‘Sentiment analysis’ is a part of Natural Language Processing whose aim is to process opinion texts. This work is a part of ‘sentiment analysis’ and presents a first approximation to the assignment of polarity to texts written in Basque. Rhetorical Structure Theory has been used to assign different weights to text spans and an analysis has been performed at the lexical level. This method has been compared with other approaches and the results are promising.
dc.language.isoeus
dc.publisherServicio Editorial de la Universidad del País Vasco/Euskal Herriko Unibertsitatearen Argitalpen Zerbitzua
dc.rightsinfo:eu-repo/semantics/openAccess
dc.titleSentimenduen analisia euskaraz: lexiko-mailatik erlaziozko diskurtso-egiturarako proposamena
dc.typeinfo:eu-repo/semantics/article
dc.rights.holder© 2016, Servicio Editorial de la Universidad del País Vasco Euskal Herriko Unibertsitateko Argitalpen Zerbitzua
dc.identifier.doi10.1387/gogoa.15634


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