Twitter Sentiment Analysis
Farré i Gomez, Gerard
MetadataShow full item record
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.
European research projects
The following license files are associated with this item:
Showing items related by title, author, creator and subject.
Plaza Cagigós, Sergi (2017-09)This work deals with language detection. It includes new proposals ranging from lexicon and morphological analysis to an increasing use of machine learning solutions. In this case, the language study is focused on Catalan, ...
Gómez, Sergio Alejandro; Chesñevar, Carlos Iván (Iberoamerican Science & Technology Education Consortium, 2004)Many classification systems rely on clustering techniques in which a collection of training examples is provided as an input, and a number of clusters c1,...cm modelling some concept C results as an output, such that every ...
Comparative analysis of predictive methods for early assessment of compliance with continuous positive airway pressure therapy Rafael-Palou, Xavier; Turino, Cecilia; Steblin, Alexander; Sánchez de la Torre, Manuel; Barbé Illa, Ferran; Vargiu, Eloisa (BMC, 2018)Background: Patients suffering obstructive sleep apnea are mainly treated with continuous positive airway pressure (CPAP). Although it is a highly effective treatment, compliance with this therapy is problematic to achieve ...