Document type
Bachelor thesisPublication date
Publication license
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/182700
Classificació de sentiments a Twitter
Journal Title
Authors
Director/Tutor
Journal ISSN
Volume Title
Related resource
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.
Description
Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2021, Director: Eduardo Urruticoechea
Citation
Citation
PLANES VIVANCOS, Ricard. Classificació de sentiments a Twitter. [consulted: 16 of August of 2026]. Available at: https://hdl.handle.net/2445/182700