Applications for Future Internet. International Summit, AFI 2016, Puebla, Mexico, May 25-28, 2016, Revised Selected Papers

Research Article

Exploiting Data of the Twitter Social Network Using Sentiment Analysis

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  • @INPROCEEDINGS{10.1007/978-3-319-49622-1_5,
        author={David Gonzalez-Marron and David Mejia-Guzman and Angelica Enciso-Gonzalez},
        title={Exploiting Data of the Twitter Social Network Using Sentiment Analysis},
        proceedings={Applications for Future Internet. International Summit, AFI 2016, Puebla, Mexico, May 25-28, 2016, Revised Selected Papers},
        proceedings_a={AFI360},
        year={2017},
        month={1},
        keywords={Future internet Social networks Sentiment analysis NoSQl databases},
        doi={10.1007/978-3-319-49622-1_5}
    }
    
  • David Gonzalez-Marron
    David Mejia-Guzman
    Angelica Enciso-Gonzalez
    Year: 2017
    Exploiting Data of the Twitter Social Network Using Sentiment Analysis
    AFI360
    Springer
    DOI: 10.1007/978-3-319-49622-1_5
David Gonzalez-Marron1,*, David Mejia-Guzman1,*, Angelica Enciso-Gonzalez1,*
  • 1: Instituto Tecnológico de Pachuca
*Contact email: dgonzalez@itpachuca.edu.mx, davidmejia.05@hotmail.com, a_enciso@itpachuca.edu.mx

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.