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Title: Análisis de sentimientos en Twitter
Author: Sobrino Sande, José Carlos
Director: Ventura Royo, Carles  
Tutor: Kanaan Izquierdo, Samir
Others: Universitat Oberta de Catalunya
Keywords: supervised learning
natural language processing
machine learning
sentiment analysis
Issue Date: Jun-2018
Publisher: Universitat Oberta de Catalunya
Abstract: The aim of this Master's Thesis is to explain the theoretical foundations over sentiment analysis is seated, its history, applications and its relationship with natural language processing. It will be offered a vision of the state of the art through a tour of the published studies by several authors and we will see the most important methods for developing this kind of solutions. It will be implemented a sentiment classifier for Twitter messages based on supervised learning algorithms and we will elaborate a comparative study with the most popular techniques for sentiment analysis at document level. Finally, we will talk about the future of this kind of systems.
Language: Spanish
Appears in Collections:Bachelor thesis, research projects, etc.

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