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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

Ejub Kajan
  • Fonction : Auteur
Zakaria Maamar
  • Fonction : Auteur
Mohamed Sellami
Emir Ugljanin
  • Fonction : Auteur
Dragan Stojanovic
  • Fonction : Auteur
Djamal Benslimane

Résumé

With the advent of Web 2.0 technologies and social media, companies are actively looking for ways to know and understand what users think and say about their products and services. Indeed, it has become the practice that users go online using social media like Facebook to raise concerns, make comments, and share recommendations. All these actions can be tracked in real-time and then mined using advanced techniques like data analytics and sentiment analysis. This paper discusses such tracking and mining through a system called Social Miner that allows companies to make decisions about what, when, and how to respond to users? actions over social media. Questions that Social Miner allows to answer include what actions were frequently executed and why certain actions were executed more than others.
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Dates et versions

hal-04428701 , version 1 (31-01-2024)

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-04428701⟩
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