Why does Social Data Mining Matter? Generating Insights about Influence, Trust and Sentiments on the Web (CROSBI ID 688198)
Prilog sa skupa u zborniku | prošireni sažetak izlaganja sa skupa | domaća recenzija
Podaci o odgovornosti
Bagić Babac, Marina ; Štriga, Darko ; Smailović, Vanja ; Podobnik, Vedran
engleski
Why does Social Data Mining Matter? Generating Insights about Influence, Trust and Sentiments on the Web
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.
Social Media ; Social Networks ; Influence ; Trust ; Sentiments
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Podaci o prilogu
1-2.
2016.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of the 1st International Workshop on Data Science (IWDS 2016)
Lončarić, Sven
Zagreb: Fakultet elektrotehnike i računarstva Sveučilišta u Zagrebu
Podaci o skupu
1st International Workshop on Data Science (IWDS 2016)
poster
30.11.2016-30.11.2016
Zagreb, Hrvatska