Show simple item record

dc.contributorArias Vicente, Marta
dc.contributor.authorBlanco-Hermida Sanz, Eric-Joel
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Ciències de la Computació
dc.date.accessioned2016-02-02T14:27:33Z
dc.date.available2016-02-02T14:27:33Z
dc.date.issued2016-01
dc.identifier.urihttp://hdl.handle.net/2117/82434
dc.description.abstractProyecto realizado en empresa.Estudio sobre las posibilidades de algoritmos de clustering y aprendizaje automático aplicadas a la red social Twitter. Distinguir tweets que hablan de la empresa Orange de los que no. Hacer análisis de sentimiento y clustering a los tweets para extraer información.
dc.description.abstractProject realized at an enterprise. Study on clustering and machine learning algorithms applied to Twitter. Using supervised learning algorithms, be able to tell apart tweets that talk about Orange that the ones who don't. Dentiment analysis on the tweets to see whether they are talking positively o
dc.language.isospa
dc.publisherUniversitat Politècnica de Catalunya
dc.subjectÀrees temàtiques de la UPC::Informàtica
dc.subject.lcshComputer algorithms
dc.subject.lcshSocial networks
dc.subject.otherclustering
dc.subject.otheraprenentatge
dc.subject.otherautomatic
dc.subject.otheralgoritmes
dc.subject.othertwitter
dc.subject.otherscikit-learn
dc.subject.otherclustering
dc.subject.othermachine
dc.subject.otherlearning
dc.subject.otheralgorithms
dc.subject.othertwitter
dc.subject.otherscikit-learn
dc.titlePrototipo de clustering orientado motor de búsqueda
dc.typeBachelor thesis
dc.subject.lemacAlgorismes computacionals
dc.subject.lemacXarxes socials
dc.identifier.slug113257
dc.rights.accessOpen Access
dc.date.updated2016-02-01T05:01:16Z
dc.audience.educationlevelGrau
dc.audience.mediatorFacultat d'Informàtica de Barcelona
dc.contributor.covenanteeSogeti High Tech


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder