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CIKM
2009
Springer
15 years 4 months ago
Probabilistic models for topic learning from images and captions in online biomedical literatures
Biomedical images and captions are one of the major sources of information in online biomedical publications. They often contain the most important results to be reported, and pro...
Xin Chen, Caimei Lu, Yuan An, Palakorn Achananupar...
CIMCA
2005
IEEE
15 years 5 months ago
Topic-Based Audience Metrics for Internet Marketing by Combining Ontologies and Output Page Mining
In Internet marketing, Web audience analysis is essential to understanding the visitors’ needs. However, the existing analysis tools fail to deliver summarized and conceptual me...
Jean-Pierre Norguet, Esteban Zimányi
71
Voted
ICML
2006
IEEE
16 years 20 days ago
Topic modeling: beyond bag-of-words
Some models of textual corpora employ text generation methods involving n-gram statistics, while others use latent topic variables inferred using the "bag-of-words" assu...
Hanna M. Wallach
JCDL
2009
ACM
127views Education» more  JCDL 2009»
15 years 6 months ago
Finding topic trends in digital libraries
We propose a generative model based on latent Dirichlet allocation for mining distinct topics in document collections by integrating the temporal ordering of documents into the ge...
Levent Bolelli, Seyda Ertekin, Ding Zhou, C. Lee G...
CIKM
2006
Springer
15 years 3 months ago
Improving novelty detection for general topics using sentence level information patterns
The detection of new information in a document stream is an important component of many potential applications. In this work, a new novelty detection approach based on the identif...
Xiaoyan Li, W. Bruce Croft