Naslov (eng)

Real-Time Tracking and Mining of Users’ Actions over Social Media

Autor

Kheddouci, Hamamache
Sellami, Mohamed
Kajan, Ejub
Benslimane, Djamal
Faci, Noura
Stojanovič, Dragan H.
Ugljanin, Emir
Maamar, Zakaria

Opis (eng)

Abstract: 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.

Jezik

engleski

Datum

2020

Licenca

Ovo delo je licencirano pod uslovima licence
Creative Commons CC BY-NC-ND 4.0 - Creative Commons Autorstvo - Nekomercijalno - Bez prerada 4.0 International License.

http://creativecommons.org/licenses/by-nc-nd/4.0/legalcode

Predmet

Keywords: Data analytics, Facebook, Sentiment analysis, Social media.

Deo kolekcije (1)

o:28516

Radovi nastavnika i saradnika Državnog univerziteta u Novom Pazaru