Twevent : segment-based event detection from tweets

• Main Authors: Li, Chenliang, Sun, Aixin, Datta, Anwitaman
• Other Authors: School of Computer Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2013
• Subjects: DRNTU::Engineering::Computer science and engineering
• Online Access: https://hdl.handle.net/10356/97953; http://hdl.handle.net/10220/12305
• Institution: Nanyang Technological University

Event detection from tweets is an important task to understand the current events/topics attracting a large number of common users. However, the unique characteristics of tweets (e.g. short and noisy content, diverse and fast changing topics, and large data volume) make event detection a challenging...