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http://hdl.handle.net/2445/125084
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DC Field | Value | Language |
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dc.contributor.advisor | Pascual i Guinovart, Guillem | - |
dc.contributor.author | Pons Gomila, Carlos | - |
dc.date.accessioned | 2018-10-05T08:15:38Z | - |
dc.date.available | 2018-10-05T08:15:38Z | - |
dc.date.issued | 2017-06-22 | - |
dc.identifier.uri | http://hdl.handle.net/2445/125084 | - |
dc.description | Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2018, Director: Guillem Pascual Guinovart | ca |
dc.description.abstract | [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. | ca |
dc.format.mimetype | application/pdf | - |
dc.language.iso | cat | ca |
dc.rights | memòria: cc-by-nc-sa (c) Pons Gomila, Carlos, 2018 | - |
dc.rights | codi: GPL (c) Pons Gomila, Carlos, 2018 | - |
dc.rights.uri | http://creativecommons.org/licenses/by-sa/3.0/es/ | * |
dc.rights.uri | http://www.gnu.org/licenses/gpl-3.0.ca.html | * |
dc.source | Treballs Finals de Grau (TFG) - Enginyeria Informàtica | - |
dc.subject.classification | Aprenentatge automàtic | ca |
dc.subject.classification | Tractament del llenguatge natural (Informàtica) | ca |
dc.subject.classification | Programari | ca |
dc.subject.classification | Treballs de fi de grau | ca |
dc.subject.classification | Allotjaments turístics | ca |
dc.subject.classification | Conducta dels consumidors | ca |
dc.subject.classification | Sistemes classificadors (Intel·ligència artificial) | ca |
dc.subject.other | Machine learning | en |
dc.subject.other | Natural language processing (Computer science) | en |
dc.subject.other | Computer software | en |
dc.subject.other | Tourist accommodation | en |
dc.subject.other | Consumer behavior | en |
dc.subject.other | Bachelor's theses | en |
dc.subject.other | Learning classifier systems | en |
dc.title | Machine learning per a l'anàlisi i classificació de sentiments | ca |
dc.type | info:eu-repo/semantics/bachelorThesis | ca |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | ca |
Appears in Collections: | Treballs Finals de Grau (TFG) - Enginyeria Informàtica |
Files in This Item:
File | Description | Size | Format | |
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memoria.pdf | Memòria | 1.89 MB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License