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

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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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Bibliographic Details
Main Authors: Md Kamrul Islam, Md Manjur Ahmed, Kamal Zuhairi Zamli, Salman Mehbub
Format: Article
Language:English
Published: UUM Press 2019-12-01
Series:Journal of ICT
Subjects:
Text classification
information diffusion
sentiment analysis
polynomial regression
connected graph
Online Access:https://e-journal.uum.edu.my/index.php/jict/article/view/12349

Internet

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

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