Sentimenduen analisia euskaraz: lexiko-mailatik erlaziozko diskurtso-egiturarako proposamena

Nowadays, 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 Lang...

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Autores: Alkorta Agirrezabala, Jon, Gojenola Galletebeitia, Koldobika, Iruskieta Quintian, Mikel
Tipo de recurso: artículo
Fecha de publicación:2016
País:España
Institución:Universidad del País Vasco
Repositorio:Addi. Archivo Digital para la Docencia y la Investigación
OAI Identifier:oai:addi.ehu.eus:10810/46558
Acceso en línea:http://hdl.handle.net/10810/46558
Access Level:acceso abierto
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spelling Sentimenduen analisia euskaraz: lexiko-mailatik erlaziozko diskurtso-egiturarako proposamenaAlkorta Agirrezabala, JonGojenola Galletebeitia, KoldobikaIruskieta Quintian, MikelNowadays, 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.Servicio Editorial de la Universidad del País Vasco/Euskal Herriko Unibertsitatearen Argitalpen Zerbitzua202020202016info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10810/46558reponame:Addi. Archivo Digital para la Docencia y la Investigacióninstname:Universidad del País VascoEuskerainfo:eu-repo/semantics/openAccess© 2016, Servicio Editorial de la Universidad del País Vasco Euskal Herriko Unibertsitateko Argitalpen Zerbitzuaoai:addi.ehu.eus:10810/465582026-06-18T09:23:17Z
dc.title.none.fl_str_mv Sentimenduen analisia euskaraz: lexiko-mailatik erlaziozko diskurtso-egiturarako proposamena
title Sentimenduen analisia euskaraz: lexiko-mailatik erlaziozko diskurtso-egiturarako proposamena
spellingShingle Sentimenduen analisia euskaraz: lexiko-mailatik erlaziozko diskurtso-egiturarako proposamena
Alkorta Agirrezabala, Jon
title_short Sentimenduen analisia euskaraz: lexiko-mailatik erlaziozko diskurtso-egiturarako proposamena
title_full Sentimenduen analisia euskaraz: lexiko-mailatik erlaziozko diskurtso-egiturarako proposamena
title_fullStr Sentimenduen analisia euskaraz: lexiko-mailatik erlaziozko diskurtso-egiturarako proposamena
title_full_unstemmed Sentimenduen analisia euskaraz: lexiko-mailatik erlaziozko diskurtso-egiturarako proposamena
title_sort Sentimenduen analisia euskaraz: lexiko-mailatik erlaziozko diskurtso-egiturarako proposamena
dc.creator.none.fl_str_mv Alkorta Agirrezabala, Jon
Gojenola Galletebeitia, Koldobika
Iruskieta Quintian, Mikel
author Alkorta Agirrezabala, Jon
author_facet Alkorta Agirrezabala, Jon
Gojenola Galletebeitia, Koldobika
Iruskieta Quintian, Mikel
author_role author
author2 Gojenola Galletebeitia, Koldobika
Iruskieta Quintian, Mikel
author2_role author
author
description Nowadays, 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.
publishDate 2016
dc.date.none.fl_str_mv 2016
2020
2020
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10810/46558
url http://hdl.handle.net/10810/46558
dc.language.none.fl_str_mv Euskera
language_invalid_str_mv Euskera
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Servicio Editorial de la Universidad del País Vasco/Euskal Herriko Unibertsitatearen Argitalpen Zerbitzua
publisher.none.fl_str_mv Servicio Editorial de la Universidad del País Vasco/Euskal Herriko Unibertsitatearen Argitalpen Zerbitzua
dc.source.none.fl_str_mv reponame:Addi. Archivo Digital para la Docencia y la Investigación
instname:Universidad del País Vasco
instname_str Universidad del País Vasco
reponame_str Addi. Archivo Digital para la Docencia y la Investigación
collection Addi. Archivo Digital para la Docencia y la Investigación
repository.name.fl_str_mv
repository.mail.fl_str_mv
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