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

Computer Science and Information Systems

article

Ejub Kajan¹  Noura Faci²  Zakaria Maamar³  Mohamed Sellami⁴  Emir Ugljanin⁵  Hamamache Kheddouci²  Dragan H. Stojanović⁵  Djamal Benslimane² 

[1] State University of Novi Pazar Vuka Karadzica bb;Univ Lyon, Universite Claude Bernard Lyon 1;Zayed University Po Box 19282;Tel´ ecom SudParis, SAMOVAR, Institut Polytechnique de Paris ´ 91011;University of Nisˇ Aleksandra Medvedeva 14

关键词: Data analytics;    Facebook;    Sentiment analysis;    Social media;   

DOI  :  10.2298/CSIS190822002K

学科分类：土木及结构工程学

来源: Computer Science and Information Systems

【 摘 要 】

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.

【 授权许可】

CC BY-NC-ND