| dc.contributor |
Giné, Francesc |
| dc.contributor |
Solé Farré, Marc |
| dc.contributor.author |
Farré i Gomez, Gerard |
| dc.date |
2020-02-10T09:23:42Z |
| dc.date |
2020-02-10T09:23:42Z |
| dc.date |
2019-09 |
| dc.identifier |
http://hdl.handle.net/10459.1/67972 |
| dc.identifier.uri |
http://hdl.handle.net/10459.1/67972 |
| dc.description |
In the last years, compute the sentiment detection it has become a challenge.
The growing of machine learning techniques helped a lot to improve the accuracy
of the sentiment prediction. In this project, we will deep on all the steps
involved to deep learning, the different available techniques and the analysis
of the results. |
| dc.language |
eng |
| dc.rights |
cc-by-nc-nd |
| dc.rights |
http://creativecommons.org/licenses/by-nc-nd/4.0/ |
| dc.rights |
info:eu-repo/semantics/openAccess |
| dc.subject |
Machine learning |
| dc.subject |
Twitter |
| dc.subject |
Twitter |
| dc.subject |
Aprenentatge automàtic |
| dc.title |
Twitter Sentiment Analysis |
| dc.type |
info:eu-repo/semantics/masterThesis |
