| 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 |
|