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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
Keywords: sentiment analysis
deep learning
image recognition
convolutional neural network
Issue Date: 8-Jan-2020
Publisher: Universitat Oberta de Catalunya (UOC)
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.
Language: Spanish
Appears in Collections:Bachelor thesis, research projects, etc.

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