Social media mining: a genetic based multiobjective clustering approach to topic modelling

• Main Authors: Rayner Alfred, Loo Yew Jie, Joe Henry Obit, Yuto Lim, Haviluddin Haviluddin, Azreen Azman
• Format: Article
• Language: English; English
• Published: International Association of Engineers 2021
• Subjects: QA Mathematics; T Technology (General)
• Online Access: https://eprints.ums.edu.my/id/eprint/30053/1/Social%20media%20mining%2C%20a%20genetic%20based%20multiobjective%20clustering%20approach%20to%20topic%20modelling-Abstract.pdf; https://eprints.ums.edu.my/id/eprint/30053/2/Social%20Media%20Mining%2C%20A%20Genetic%20Based%20Multiobjective%20Clustering%20Approach%20to%20Topic%20Modelling.pdf; https://eprints.ums.edu.my/id/eprint/30053/; http://www.iaeng.org/IJCS/issues_v48/issue_1/IJCS_48_1_04.pdf

Social media mining is the process of collecting large datasets from user-generated content and extracting and analyzing social media interactions to recognize meaningful patterns in individual and social behavior. Everyday, more contents related to social media are generated by social media users (...