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.
Social media conversation monitoring: Visualize information contents of twitter messages using conversational metrics / Lipizzi, Carlo; Dessavre, Dante Gama; Iandoli, Luca; Marquez, Josã© Emmanuel Ramirez. - In: PROCEDIA COMPUTER SCIENCE. - ISSN 1877-0509. - 80:(2016), pp. 2216-2220. (Intervento presentato al convegno International Conference on Computational Science, ICCS 2016 tenutosi a Catamaran Resort Hotel and Spa, usa nel 2016) [10.1016/j.procs.2016.05.384].
Social media conversation monitoring: Visualize information contents of twitter messages using conversational metrics
Iandoli, LucaConceptualization
;
2016
Abstract
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.| File | Dimensione | Formato | |
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Social Media Conversation Monitoring- Visualize Information Contents of Twitter Messages Using Conversational Metrics - 1-s2.0-S1877050916308602-main.pdf
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