Author(s)

Aseel Abdullah Alolayan, Ahmad A. Alhamed

Department of Information Systems, King Saud University, Riyadh, Saudi Arabia.

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.

Data Mining, Knowledge, Data Mining Techniques, Social Media

Alolayan, A. and Alhamed, A. (2024) Detection of Knowledge on Social Media Using Data Mining Techniques. Open Journal of Applied Sciences, 14, 472-482. doi: 10.4236/ojapps.2024.142034.