181 search results - page 5 / 37 » Utilizing Temporal Information in Topic Detection and Tracki... |
AIRS
2008
Springer
14 years 2 months ago
2008
Springer
Topic tracking is an important task of Topic Detection and Tracking (TDT). Its purpose is to detect stories, from a stream of news, related to known topics. Each topic is “known...
SIGIR
2004
ACM
14 years 1 months ago
2004
ACM
Topic tracking is complicated when the stories in the stream occur in multiple languages. Typically, researchers have trained only English topic models because the training storie...
IJCAI
2007
13 years 10 months ago
2007
Detecting and tracking latent factors from temporal data is an important task. Most existing algorithms for latent topic detection such as Nonnegative Matrix Factorization (NMF) h...
ECIR
2009
Springer
14 years 5 months ago
2009
Springer
Algorithms that enable the process of automatically mining distinct topics in document collections have become increasingly important due to their applications in many fields and ...
ICIP
2006
IEEE
14 years 10 months ago
2006
IEEE
Videos from distributed sources (e.g., broadcasts, podcasts, blogs, etc.) have grown exponentially. Topic threading is very useful for organizing such large-volume information sou...