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| dc.contributor | Pascual i Guinovart, Guillem | |
| dc.creator | Pons Gomila, Carlos | |
| dc.date | 2018-10-05T08:15:38Z | |
| dc.date | 2018-10-05T08:15:38Z | |
| dc.date | 2017-06-22 | |
| dc.date.accessioned | 2024-12-16T10:26:47Z | |
| dc.date.available | 2024-12-16T10:26:47Z | |
| dc.identifier | http://hdl.handle.net/2445/125084 | |
| dc.identifier.uri | http://fima-docencia.ub.edu:8080/xmlui/handle/123456789/21515 | |
| dc.description | Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2018, Director: Guillem Pascual Guinovart | |
| dc.description | [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. | |
| dc.format | application/pdf | |
| dc.language | cat | |
| dc.rights | memòria: cc-by-nc-sa (c) Pons Gomila, Carlos, 2018 | |
| dc.rights | codi: GPL (c) Pons Gomila, Carlos, 2018 | |
| 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 | Aprenentatge automàtic | |
| dc.subject | Tractament del llenguatge natural (Informàtica) | |
| dc.subject | Programari | |
| dc.subject | Treballs de fi de grau | |
| dc.subject | Allotjaments turístics | |
| dc.subject | Conducta dels consumidors | |
| dc.subject | Sistemes classificadors (Intel·ligència artificial) | |
| dc.subject | Machine learning | |
| dc.subject | Natural language processing (Computer science) | |
| dc.subject | Computer software | |
| dc.subject | Tourist accommodation | |
| dc.subject | Consumer behavior | |
| dc.subject | Bachelor's theses | |
| dc.subject | Learning classifier systems | |
| dc.title | Machine learning per a l'anàlisi i classificació de sentiments | |
| dc.type | info:eu-repo/semantics/bachelorThesis |
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