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Article Dans Une Revue Computer Science and Information Systems Année : 2020

Real-time tracking and mining of users’ actions over social media

Résumé

With the advent of Web 2.0 technologies and social media, companiesare actively looking for ways to know and understand what users think and say abouttheir products and services. Indeed, it has become the practice that users go onlineusing social media like Facebook to raise concerns, make comments, and share rec-ommendations. All these actions can be tracked in real-time and then mined usingadvanced techniques like data analytics and sentiment analysis. This paper discussessuch tracking and mining through a system calledSocial Minerthat allows com-panies to make decisions about what, when, and how to respond to users’actions over social media. Questions thatSocial Minerallows to answer in-clude what actions were frequently executed and why certain actions wereexecuted more than others.

Dates et versions

hal-02514060 , version 1 (21-03-2020)

Identifiants

Citer

Ejub Kajan, Noura Faci, Zakaria Maamar, Mohamed Sellami, Emir Ugljanin, et al.. Real-time tracking and mining of users’ actions over social media. Computer Science and Information Systems, 2020, 17 (2), pp.403-426. ⟨10.2298/CSIS190822002K⟩. ⟨hal-02514060⟩
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