Social Media Conversation Monitoring: Visualize Information Contents of Twitter Messages Using Conversational Metrics.

Autor: Lipizzi, Carlo, Marquez, José Emmanuel Ramirez, Dessavre, Dante Gama, Iandoli, Luca
Předmět:
Zdroj: Procedia Computer Science; 2016, Vol. 80, p2216-2220, 5p
Abstrakt: In 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. [ABSTRACT FROM AUTHOR]
Databáze: Supplemental Index