Topic extraction from microblog posts using conversation structures

• Main Authors: LI, Jing, LIAO, Ming, GAO, Wei, HE, Yulan, WONG, Kam-Fai
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2016
• Subjects: Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/4567; https://ink.library.smu.edu.sg/context/sis_research/article/5570/viewcontent/P16_1199.pdf
• Institution: Singapore Management University

Conventional topic models are ineffective for topic extraction from microblog messages since the lack of structure and context among the posts renders poor message-level word co-occurrence patterns. In this work, we organize microblog posts as conversation trees based on reposting and replying relat...