Content-based visualization system for sentiment analysis on social networks

A content-based visualization system is presented for the sentiment analysis on social networks. The methodology implemented was focused on the semantic processing taking into account the content in the public user's opinions. In our approach the comments were handled as excerpts of knowledge. During the visualization the social graph is displayed presenting the polarity and sentiment status for each comment. Moreover a web mapping tool retrieves comments in a radius based on the location source(geographic) or concepts related to geographic entities and spatial relations in the comment(conceptual).