146 search results - page 6 / 30 » Detecting Topic Drift with Compound Topic Models |
MSR
2011
ACM
12 years 10 months ago
2011
ACM
Studying the evolution of topics (collections of co-occurring words) in a software project is an emerging technique to automatically shed light on how the project is changing over...
SIGIR
2004
ACM
14 years 24 days 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...
PKDD
2010
Springer
13 years 5 months ago
2010
Springer
We present a demonstration of a newly developed text stream event detection method on over a million articles from the New York Times corpus. The event detection is designed to ope...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
We present a unified model of what was traditionally viewed as two separate tasks: data association and intensity tracking of multiple topics over time. In the data association pa...
JIIS
2002
13 years 7 months ago
2002
Abstract. We propose a novel probabilistic method, based on latent variable models, for unsupervised topographic visualisation of dynamically evolving, coherent textual information...