Naslov
Why does Social Data Mining Matter? Generating Insights about Influence, Trust and Sentiments on the Web

Autori
Bagić Babac, Marina ; Štriga, Darko ; Smailović, Vanja ; Podobnik, Vedran

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, prošireni sažetak, znanstveni

Izvornik
Proceedings of the 1st International Workshop on Data Science (IWDS 2016) / Lončarić, Sven - Zagreb : Fakultet elektrotehnike i računarstva Sveučilišta u Zagrebu, 2016, 1-2

Skup
1st International Workshop on Data Science (IWDS 2016)

Mjesto i datum
Zagreb, Hrvatska, 30.11.2016

Vrsta sudjelovanja
Poster

Vrsta recenzije
Domaća recenzija

Ključne riječi
Social Media ; Social Networks ; Influence ; Trust ; Sentiments

Sažetak
Due to significant rise in the use of social media in recent years, social media mining as a systematic analysis of user-generated data is also evolving, and its practitioners are still developing new approaches. Social media mining can help business identify many important aspects of its customer preferences in real time, which can be used for proactive planning and decision making. In addition, it can identify the potential customers based on their online behaviour, or their friend's online activities. Different kinds of measuring interactions between people and other entities such as websites, networks, or content, reveal a lot about human nature in general and domain- specific cases. Generating insights from data where social relationships and social behaviour play a critical role, can affect the impact and role of any organization or business. Big data generated by online users on a daily basis seeks for novel data mining solutions and scalable computational models. Herein, we list down some of the important challenges, solutions and applications in mining social influence, trust and sentiments.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Informacijske i komunikacijske znanosti

POVEZANOST RADA