Autores
Torres Ruiz Miguel Jesús
Quintero Téllez Rolando
Título Content-based visualization system for sentiment analysis on social networks
Tipo Congreso
Sub-tipo Memoria
Descripción Workshop and Poster 8th Joint International Semantic Technology Conference, JIST-WP 2018
Resumen 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). © 2018 CEUR-WS. All Rights Reserved.
Observaciones CEUR Workshop Proceedings, v. 2293
Lugar Awaji City, Hyogo
País Japon
No. de páginas 94-97
Vol. / Cap.
Inicio 2018-11-26
Fin 2018-11-28
ISBN/ISSN