Social media conversation monitoring: Visualize information contents of twitter messages using conversational metrics

2018-04-092018-04-091877050910.1016/j.procs.2016.05.384http://hdl.handle.net/11285/628067In this paper we present a novel method to extract and visualize actionable information from streams of social media messages, analyzed as conversational elements. Our method has been applied to over 4 million messages related to more than 35 different events, demonstrating good results identifying conversational patterns. © The Authors. Published by Elsevier B.V.openAccessData miningFlow visualizationContent analysisConversation analysisInformation contentsSocial mediaText miningSocial networking (online)Social media conversation monitoring: Visualize information contents of twitter messages using conversational metricsConferencia8022162220