Event identification and analysis on Twitter

• Main Author: DIAO, Qiming
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2015
• Subjects: event identification; event detection; twitter analysis; topic model; event summarization; bursty topic detection; Databases and Information Systems; Social Media
• Online Access: https://ink.library.smu.edu.sg/etd_coll/126; https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1124&context=etd_coll
• 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 messages. Because of such wide adoption of Twitter, events like breaking news and release of popular videos can easily capture people’s attention and spread rapidly...