International Journal of Computer Science & Network Security

International Journal of Computer Science & Network Security (국제컴퓨터통신보호논문지학회)
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Social Media Data Analysis Trends and Methods

  • Rokaya, Mahmoud (Department of Information Technology, College of Computers and Information Technology, Taif University) ;
  • Al Azwari, Sanaa (Department of Information Technology, College of Computers and Information Technology, Taif University)
  • Received : 2022.09.05
  • Published : 2022.09.30
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Abstract

Social media is a window for everyone, individuals, communities, and companies to spread ideas and promote trends and products. With these opportunities, challenges and problems related to security, privacy and rights arose. Also, the data accumulated from social media has become a fertile source for many analytics, inference, and experimentation with new technologies in the field of data science. In this chapter, emphasis will be given to methods of trend analysis, especially ensemble learning methods. Ensemble learning methods embrace the concept of cooperation between different learning methods rather than competition between them. Therefore, in this chapter, we will discuss the most important trends in ensemble learning and their applications in analysing social media data and anticipating the most important future trends.

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