Pascual i Guinovart, GuillemPons Gomila, Carlos2018-10-052018-10-052017-06-22https://hdl.handle.net/2445/125084Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2018, Director: Guillem Pascual Guinovart[en] Continuously people debate and express their opinions in their day to day life. Internet has encouraged these opinions to be made public through social networks or review platforms regarding a brand, product or service. To analyze this intake of information, mining of opinions is gaining strength. A scraping system has been implemented to obtain a real data corpus and algorithms based on natural language processing (NLP) and Machine Learning are used to implement a sentiment analysis framework. By means of supervised learning, the reviews written at TripAdvisor regarding tourist accommodation are classified. A brief introduction to the world of neuronal networks is made and the Keras library is used in a regression problem to predict scores. Finally, the result of analyzing opinions applied to hotels in the city of Barcelona is presented on a web map, obtaining an indicator that represents the degree of positive or negative comments for each hotel.application/pdfcatmemòria: cc-by-nc-sa (c) Pons Gomila, Carlos, 2018codi: GPL (c) Pons Gomila, Carlos, 2018http://creativecommons.org/licenses/by-sa/3.0/es/http://www.gnu.org/licenses/gpl-3.0.ca.htmlAprenentatge automàticTractament del llenguatge natural (Informàtica)ProgramariTreballs de fi de grauAllotjaments turísticsConducta dels consumidorsSistemes classificadors (Intel·ligència artificial)Machine learningNatural language processing (Computer science)Computer softwareTourist accommodationConsumer behaviorBachelor's thesesLearning classifier systemsinfo:eu-repo/semantics/bachelorThesisinfo:eu-repo/semantics/openAccess