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Sentiment Analysis in Twitter for Spanish

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Sentiment Analysis in Twitter for Spanish

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Pla Santamaría, F.; Hurtado Oliver, LF. (2014). Sentiment Analysis in Twitter for Spanish. En Natural Language Processing and Information Systems. Springer Lecture Notes in Computer Science Volume 8455 2014. 208-213. https://doi.org/10.1007/978-3-319-07983-7_27

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/68280

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Metadatos del ítem

Título: Sentiment Analysis in Twitter for Spanish
Autor: Pla Santamaría, Ferran Hurtado Oliver, Lluis Felip
Entidad UPV: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Fecha difusión:
Resumen:
This paper describes a SVM-approach for Sentiment Analysis (SA) in Twitter for Spanish. This task was part of the TASS2013 workshop, which is a framework for SA that is focused on the Spanish language. We describe the ...[+]
Palabras clave: Sentiment analysis , Twiter , Machine learning
Derechos de uso: Reserva de todos los derechos
ISBN: 978-3-319-07982-0
Fuente:
Natural Language Processing and Information Systems. (issn: 0302-9743 )
DOI: 10.1007/978-3-319-07983-7_27
Editorial:
Springer Lecture Notes in Computer Science Volume 8455 2014
Versión del editor: http://link.springer.com/chapter/10.1007/978-3-319-07983-7_27
Título del congreso: 19th International Conference on Application of Natural Language to Information Systems (NLDB 2014)
Lugar del congreso: Montpellier, France
Fecha congreso: June 18-20, 2014
Serie: Lecture Notes in Computer Science;8455
Código del Proyecto:
info:eu-repo/grantAgreement/MINECO//TIN2012-38603-C02-01/ES/DIANA-APPLICATIONS: FINDING HIDDEN KNOWLEDGE IN TEXTS: APPLICATIONS/
info:eu-repo/grantAgreement/MICINN//TIN2011-28169-C05-01/ES/TIMPANO-UPV: TECNOLOGIAS PARA LA INTERACCION CONVERSACIONAL COMPLAJE PERSONA-MAQUINA CON APRENDIZAJE DINAMICO/
Descripción: The final publication is available at Springer via http://dx.doi.org/ 10.1007/978-3-319-07983-7_27
Agradecimientos:
This work has been funded by the projects, DIANA (MEC TIN2012-38603-C02-01) and Tímpano (MEC TIN2011-28169-C05-01).
Tipo: Capítulo de libro Comunicación en congreso

References

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Barbosa, L., Feng, J.: Robust sentiment detection on Twitter from biased and noisy data. In: Proceedings of the 23rd International Conference on Computational Linguistics: Posters, Association for Computational Linguistics, pp. 36–44 (2010)

Jansen, B.J., Zhang, M., Sobel, K., Chowdury, A.: Twitter power: Tweets as electronic word of mouth. Journal of the American Society for Information Science and Technology 60(11), 2169–2188 (2009)

Liu, B., Hu, M., Cheng, J.: Opinion observer: Analyzing and comparing opinions on the web. In: Proceedings of the 14th International Conference on World Wide Web, WWW 2005, pp. 342–351. ACM, New York (2005)

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