Machine Learning Based Sentiment Analysis on Spanish Financial Tweets

José Antonio Garcí­a-Dí­az; María del Pilar Salas‐Zárate; María Luisa Hernández-Alcaraz; Rafael Valencia-Garcı́a; Juan Miguel Gómez-Berbís

doi:10.1007/978-3-319-77703-0_31

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Machine Learning Based Sentiment Analysis on Spanish Financial Tweets

José Antonio García-Díaz María del Pilar Salas‐Zárate María Luisa Hernández-Alcaraz Rafael Valencia-Garcı́a Juan Miguel Gómez-Berbís

Year: 2018 Advances in intelligent systems and computing Pages: 305-311 Publisher: Springer Nature

DOI: 10.1007/978-3-319-77703-0_31

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Keywords:

C4.5 algorithm Sentiment analysis Computer science Artificial intelligence Machine learning Stock market Measure (data warehouse) Set (abstract data type) Natural language processing Support vector machine Data mining Geography

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Sentiment Analysis and Opinion Mining

Physical Sciences → Computer Science → Artificial Intelligence

Stock Market Forecasting Methods

Social Sciences → Decision Sciences → Management Science and Operations Research

Advanced Text Analysis Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Machine Learning Based Sentiment Analysis on Spanish Financial Tweets

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