Abstract
Social Networks nowadays are producing an enormous quantity of data, this data transformed into information could be useful for the decision support systems. A new emerging technology denominated as Sentiment Analysis or Opinion Meaning extracts the opinion or sentiment of a particular text. The Twitter social network is a source of valuable information in simple text and appropriated to use this technology. In this paper is described the process used to select the most suitable algorithms to analyze tweets for particular words written in Spanish, also the results obtained by every algorithm are reported.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Flores, J., Moran, J., Rodriguez, V.: Las Redes Sociales. USMP (2009). http://www.usmp.edu.pe/publicaciones/boletin/fia/info69/sociales.pdf
Análisis de sentimiento: capturando la emoción. 27 de mayo de 2015, de www.daedalus.es Sitio web (2012). http://www.daedalus.es/blog/es/analisis-de-sentimiento-capturando-la-emocion
Valverde J.C.: Sistema de extracción de entidades y análisis de opiniones en contenidos Web generados por usuarios. Trabajo de fin de grado. Universidad Autónoma de Madrid. Madrid, España (2013)
Gonzalez, D., Mejia, D., Mendoza, M., Enciso, A.: Desarrollo de una aplicación para la extracción de información de la red social Twitter y análisis de sentimientos de Tweets, Revista de Tecnologías de la Información, vol. 2, no. 2, ECORFAN (2015)
Internetlivestats (2016). http://www.internetlivestats.com
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Gonzalez-Marron, D., Mejia-Guzman, D., Enciso-Gonzalez, A. (2017). Exploiting Data of the Twitter Social Network Using Sentiment Analysis. In: Sucar, E., Mayora, O., Munoz de Cote, E. (eds) Applications for Future Internet. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 179. Springer, Cham. https://doi.org/10.1007/978-3-319-49622-1_5
Download citation
DOI: https://doi.org/10.1007/978-3-319-49622-1_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-49621-4
Online ISBN: 978-3-319-49622-1
eBook Packages: Computer ScienceComputer Science (R0)