Exploiting data of the twitter social network using sentiment analysis

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.