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
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.
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