Finding Bursty Topics From Microblogs

• Main Authors: DIAO, Qiming, JIANG, Jing, ZHU, Feida, LIM, Ee Peng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2012
• Subjects: Databases and Information Systems; Numerical Analysis and Scientific Computing; Social Media
• Online Access: https://ink.library.smu.edu.sg/sis_research/1547; https://ink.library.smu.edu.sg/context/sis_research/article/2546/viewcontent/P12_1056.pdf
• Institution: Singapore Management University

Microblogs such as Twitter reflect the general public’s reactions to major events. Bursty topics from microblogs reveal what events have attracted the most online attention. Although bursty event detection from text streams has been studied before, previous work may not be suitable for microblogs be...