A Unified Model for Topics, Events and Users on Twitter

• Main Authors: DIAO, Qiming, JIANG, Jing
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2013
• Subjects: Twitter; social media; tweets; Twitter posts; model; topic capture; bursty events; event identification; Databases and Information Systems; Numerical Analysis and Scientific Computing; Social Media
• Online Access: https://ink.library.smu.edu.sg/sis_research/2058; https://ink.library.smu.edu.sg/context/sis_research/article/3057/viewcontent/emnlp_2013.pdf
• Institution: Singapore Management University

With the rapid growth of social media, Twitter has become one of the most widely adopted platforms for people to post short and instant message. On the one hand, people tweets about their daily lives, and on the other hand, when major events happen, people also follow and tweet about them. Moreover,...