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   <dc:title>Restaulytics sentiment analysis in restaurant reviews</dc:title>
   <dc:creator>Georgiana-Denisa, Stefan</dc:creator>
   <dc:subject>Àrees temàtiques de la UPC::Informàtica</dc:subject>
   <dc:subject>Neural networks (Computer science)</dc:subject>
   <dc:subject>Machine learning</dc:subject>
   <dc:subject>sentiment analysis</dc:subject>
   <dc:subject>machine learning</dc:subject>
   <dc:subject>neural network</dc:subject>
   <dc:subject>convolutional network</dc:subject>
   <dc:subject>transfer learning</dc:subject>
   <dc:subject>latent dirichlet allocation</dc:subject>
   <dc:subject>support vector machines</dc:subject>
   <dc:subject>naive bayes</dc:subject>
   <dc:subject>passive aggressive</dc:subject>
   <dc:subject>feed-forward network</dc:subject>
   <dc:subject>Xarxes neuronals (Informàtica)</dc:subject>
   <dc:subject>Aprenentatge automàtic</dc:subject>
   <dcterms: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.</dcterms:abstract>
   <dcterms:issued>2019-07-05</dcterms:issued>
   <dc:type>Master thesis</dc:type>
   <dc:rights>Open Access</dc:rights>
   <dc:publisher>Universitat Politècnica de Catalunya</dc:publisher>
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