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Detecting arguments similarity to compact on-line debates

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dc.contributor López Sánchez, Maite
dc.contributor Rodríguez-Aguilar, Juan A. (Juan Antonio)
dc.creator Soler Planas, Martí
dc.date 2017-02-03T10:00:24Z
dc.date 2017-02-03T10:00:24Z
dc.date 2016-06-30
dc.date.accessioned 2024-12-16T10:23:45Z
dc.date.available 2024-12-16T10:23:45Z
dc.identifier http://hdl.handle.net/2445/106467
dc.identifier.uri http://fima-docencia.ub.edu:8080/xmlui/handle/123456789/16521
dc.description Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2016, Director: Maite López Sánchez i Juan Antonio Rodríguez-Aguilar
dc.description Discussion has changed enormously over the last decades. Thanks to the internet and advancements on the field, we are able to have larger communities in a discussion and get higher quality results from it than ever before. Having a large number of individuals involved has lots of benefits, but it also carries some challenges. As a discussion grows larger, people have a tendency to start repeating arguments, this has been traditionally handled by a team of moderators. In this work we analyse the properties of these arguments, and we take advantage of those properties to make a specialized method to automatically detect syntactically different but semantically equivalent arguments. Thus reducing the amount of work carried out by moderators. We do so with the help of natural language processing and machine learning techniques.
dc.format 52 p.
dc.format application/pdf
dc.language eng
dc.rights memòria: cc-by-nc-sa (c) Martí Soler Planas, 2016
dc.rights codi: GPL (c) Martí Soler Planas, 2016
dc.rights http://creativecommons.org/licenses/by-sa/3.0/es
dc.rights http://www.gnu.org/licenses/gpl-3.0.ca.html
dc.rights info:eu-repo/semantics/openAccess
dc.source Treballs Finals de Grau (TFG) - Enginyeria Informàtica
dc.subject Tractament del llenguatge natural (Informàtica)
dc.subject Aprenentatge automàtic
dc.subject Treballs de fi de grau
dc.subject Xarxes socials en línia
dc.subject Anàlisi de la conversa
dc.subject Discussió
dc.subject Natural language processing (Computer science)
dc.subject Machine learning
dc.subject Bachelor's theses
dc.subject Online social networks
dc.subject Conversation analysis
dc.subject Discussion
dc.title Detecting arguments similarity to compact on-line debates
dc.type info:eu-repo/semantics/bachelorThesis


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