85 search results - page 1 / 17 » Accounting for burstiness in topic models |
ICML
2009
IEEE
14 years 5 months ago
2009
IEEE
CIKM
2010
Springer
13 years 3 months ago
2010
Springer
Bursty features in text streams are very useful in many text mining applications. Most existing studies detect bursty features based purely on term frequency changes without takin...
ECAI
2010
Springer
13 years 2 months ago
2010
Springer
Many document collections are by nature dynamic, evolving as the topics or events they describe change. The goal of temporal text mining is to discover bursty patterns and to ident...
ACL
2012
11 years 7 months ago
2012
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. Al...
SDM
2007
SIAM
13 years 6 months ago
2007
SIAM
Text representation plays a crucial role in classical text mining, where the primary focus was on static text. Nevertheless, well-studied static text representations including TFI...