Please use this identifier to cite or link to this item:
https://dipositint.ub.edu/dspace/handle/2445/182700| Title: | Classificació de sentiments a Twitter |
| Author: | Planes Vivancos, Ricard |
| Director/Tutor: | Urruticoechea, Eduardo |
| Keywords: | Xarxes socials Aprenentatge automàtic Programari Treballs de fi de grau Sistemes classificadors (Intel·ligència artificial) Algorismes computacionals Reputació en línia Emocions Social networks Machine learning Computer software Learning classifier systems Computer algorithms Bachelor's theses Reputation management Emotions |
| Issue Date: | 19-Jun-2021 |
| Abstract: | [en] The aim of this project is to implement an unsupervised, fast and low-cost machine learning algorithm capable of identifying the sentiment conveyed by each tweet from a set of tweets in order to calculate the percentage of those positive and negative. To do this, we will also create the Dataset of tweets to classify with which the algorithm will be trained. This project intends to be useful to those companies that during an advertising campaign are looking for a quick first analysis of the catalan-speaking users’ acceptance on Twitter. |
| Note: | Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2021, Director: Eduardo Urruticoechea |
| URI: | http://hdl.handle.net/2445/182700 |
| Appears in Collections: | Programari - Treballs de l'alumnat Treballs Finals de Grau (TFG) - Enginyeria Informàtica |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| codi.zip | Codi font | 256.17 MB | zip | View/Open |
| tfg_ricard_planes_vivancos.pdf | Memòria | 1.28 MB | Adobe PDF | View/Open |
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