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Restaulytics sentiment analysis in restaurant reviews
dc.contributor | Castell Ariño, Núria |
dc.contributor | Dascălu, Mihai |
dc.contributor.author | Georgiana-Denisa, Stefan |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Ciències de la Computació |
dc.date.accessioned | 2019-10-14T08:53:40Z |
dc.date.available | 2019-10-14T08:53:40Z |
dc.date.issued | 2019-07-05 |
dc.identifier.uri | http://hdl.handle.net/2117/170049 |
dc.description.abstract | This thesis aims to investigate the problem of sentiment analysis and how it can be solved as a 5 classes classification problem with automatic learning. This is done via experimenting with different types of features and models. The experiments are centred around the restaurant domain. |
dc.language.iso | eng |
dc.publisher | Universitat Politècnica de Catalunya |
dc.subject | Àrees temàtiques de la UPC::Informàtica |
dc.subject.lcsh | Neural networks (Computer science) |
dc.subject.lcsh | Machine learning |
dc.subject.other | sentiment analysis |
dc.subject.other | machine learning |
dc.subject.other | neural network |
dc.subject.other | convolutional network |
dc.subject.other | transfer learning |
dc.subject.other | latent dirichlet allocation |
dc.subject.other | support vector machines |
dc.subject.other | naive bayes |
dc.subject.other | passive aggressive |
dc.subject.other | feed-forward network |
dc.title | Restaulytics sentiment analysis in restaurant reviews |
dc.type | Master thesis |
dc.subject.lemac | Xarxes neuronals (Informàtica) |
dc.subject.lemac | Aprenentatge automàtic |
dc.identifier.slug | 145830 |
dc.rights.access | Open Access |
dc.date.updated | 2019-07-12T04:01:38Z |
dc.audience.educationlevel | Màster |
dc.audience.mediator | Facultat d'Informàtica de Barcelona |
dc.audience.degree | MÀSTER UNIVERSITARI EN INNOVACIÓ I RECERCA EN INFORMÀTICA (Pla 2012) |
dc.contributor.covenantee | Universitatea Politehnică București |