%0 Journal Article
%T Detection of Knowledge on Social Media Using Data Mining Techniques
%A Aseel Abdullah Alolayan
%A Ahmad A. Alhamed
%J Open Journal of Applied Sciences
%P 472-482
%@ 2165-3925
%D 2024
%I Scientific Research Publishing
%R 10.4236/ojapps.2024.142034
%X In light of the rapid growth and
development of social media, it has become the focus of interest in many
different scientific fields. They seek to extract useful information from it,
and this is called (knowledge), such as extracting information related to people¡¯s
behaviors and interactions to analyze feelings or understand the behavior of
users or groups, and many others. This extracted knowledge has a very important
role in decision-making, creating and improving marketing objectives and
competitive advantage, monitoring events, whether political or economic, and
development in all fields. Therefore, to extract this knowledge, we need to
analyze the vast amount of data found within social media using the most
popular data mining techniques and applications related to social media sites.
%K Data Mining
%K Knowledge
%K Data Mining Techniques
%K Social Media
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=131445