Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/125084
Machine learning per a l'anàlisi i classificació de sentiments
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Abstract
[en] Continuously people debate and express their opinions in their day to day life. Internet has encouraged these opinions to be made public through social networks or review platforms regarding a brand, product or service. To analyze this intake of information, mining of opinions is gaining strength.
A scraping system has been implemented to obtain a real data corpus and algorithms based on natural language processing (NLP) and Machine Learning are used to implement a sentiment analysis framework. By means of supervised learning, the reviews written at TripAdvisor regarding tourist accommodation are classified. A brief introduction to the world of neuronal networks is made and the Keras library is used in a
regression problem to predict scores.
Finally, the result of analyzing opinions applied to hotels in the city of Barcelona is presented on a web map, obtaining an indicator that represents the degree of positive or negative comments for each hotel.
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Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2018, Director: Guillem Pascual Guinovart
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PONS GOMILA, Carlos. Machine learning per a l'anàlisi i classificació de sentiments. [consulted: 17 of June of 2026]. Available at: https://hdl.handle.net/2445/125084