On analyzing user topic-specific platform preferences across multiple social media sites

• Main Authors: LEE, Roy Ka Wei, HOANG, Tuan Anh, LIM, Ee Peng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2017
• Subjects: User preference; Multiple social networks; Topic modeling; Databases and Information Systems; Social Media; Theory and Algorithms
• Online Access: https://ink.library.smu.edu.sg/sis_research/3651; https://ink.library.smu.edu.sg/context/sis_research/article/4653/viewcontent/12._Apr01_2017___On_Analyzing_User_Topic_Specific_Platform_Preferences_Across_Multiple_Social_Media_Sites__WWW2017_.pdf
• Institution: Singapore Management University

Topic modeling has traditionally been studied for single text collections and applied to social media data represented in the form of text documents. With the emergence of many social media platforms, users find themselves using different social media for posting content and for social interaction....