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http://hdl.handle.net/10609/108186
Title: | Deep Learning para la percepción y clasificación de sentimientos en imágenes |
Author: | Bernet Fernández, Jose María |
Director: | Solé-Ribalta, Albert |
Tutor: | Bosch Rue, Anna |
Abstract: | The analysis of feelings in texts allows corporations or political parties to know if the positioning of a user or voter is positive, neutral or negative. However, the content that is shared in the different media is increasingly more multimedia and less textual, which is why this aspect of feeling analysis has begun to take relevance, this time in images. In this paper the current context is studied, where the last scientific articles have remained and a convolutional neural network is defined for the analysis of feelings in two different datasets. |
Keywords: | sentiment analysis deep learning image recognition convolutional neural network |
Document type: | info:eu-repo/semantics/masterThesis |
Issue Date: | 8-Jan-2020 |
Publication license: | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Appears in Collections: | Bachelor thesis, research projects, etc. |
Files in This Item:
File | Description | Size | Format | |
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bernetjmTFM0120memoria.pdf | Memoria del TFM | 931,94 kB | Adobe PDF | View/Open |
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