144 search results - page 5 / 29 » Emerging topic detection using dictionary learning |
NAACL
2003
13 years 9 months ago
2003
In this work, we present a new semantic language modeling approach to model news stories in the Topic Detection and Tracking (TDT) task. In the new approach, we build a unigram la...
ICCV
2007
IEEE
14 years 9 months ago
2007
IEEE
Topic models have recently emerged as powerful tools for modeling topical trends in documents. Often the resulting topics are broad and generic, associating large groups of people...
ICML
2009
IEEE
14 years 2 months ago
2009
IEEE
Topic models such as Latent Dirichlet Allocation (LDA) and Correlated Topic Model (CTM) have recently emerged as powerful statistical tools for text document modeling. In this pap...
KDD
2008
ACM
14 years 8 months ago
2008
ACM
The BioJournalMonitor is a decision support system for the analysis of trends and topics in the biomedical literature. Its main goal is to identify potential diagnostic and therap...
KDD
2010
ACM
13 years 11 months ago
2010
ACM
We propose an online topic model for sequentially analyzing the time evolution of topics in document collections. Topics naturally evolve with multiple timescales. For example, so...