AN ONLINE FRAMEWORK FOR CIVIL UNREST PREDICTION USING TWEET STREAM BASED ON TWEET WEIGHT AND EVENT DIFFUSION

AN ONLINE FRAMEWORK FOR CIVIL UNREST PREDICTION USING TWEET STREAM BASED ON TWEET WEIGHT AND EVENT DIFFUSION

Twitter is one of most popular Internet-based social networking platform to share feelings, views, and opinions. In recent years, many researchers have utilized the social dynamic property of posted messages or tweets to predict civil unrest in advance. However, existing frameworks fail to describe...

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Bibliographische Detailangaben
Hauptverfasser: Md Kamrul Islam, Md Manjur Ahmed, Kamal Zuhairi Zamli, Salman Mehbub
Format: Artikel
Sprache:English
Veröffentlicht: UUM Press 2019-12-01
Schriftenreihe:Journal of ICT
Schlagworte:
Text classification
information diffusion
sentiment analysis
polynomial regression
connected graph
Online Zugang:https://e-journal.uum.edu.my/index.php/jict/article/view/12349

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https://e-journal.uum.edu.my/index.php/jict/article/view/12349

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