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UAI
2008
13 years 10 months ago
Latent Topic Models for Hypertext
Latent topic models have been successfully applied as an unsupervised topic discovery technique in large document collections. With the proliferation of hypertext document collect...
Amit Gruber, Michal Rosen-Zvi, Yair Weiss
ICDAR
2009
IEEE
13 years 6 months ago
Using Kernel Density Classifier with Topic Model and Cost Sensitive Learning for Automatic Text Categorization
This paper proposes a novel framework for automatic text categorization problem based on the kernel density classifier. The overall goal is to tackle two main issues in automatic ...
Dwi Sianto Mansjur, Ted S. Wada, Biing-Hwang Juang
SDM
2007
SIAM
187views Data Mining» more  SDM 2007»
13 years 10 months ago
Topic Models over Text Streams: A Study of Batch and Online Unsupervised Learning
Topic modeling techniques have widespread use in text data mining applications. Some applications use batch models, which perform clustering on the document collection in aggregat...
Arindam Banerjee, Sugato Basu
ICML
2009
IEEE
14 years 9 months ago
Evaluation methods for topic models
Hanna M. Wallach, Iain Murray, Ruslan Salakhutdino...
CIKM
2008
Springer
13 years 11 months ago
Modeling hidden topics on document manifold
Topic modeling has been a key problem for document analysis. One of the canonical approaches for topic modeling is Probabilistic Latent Semantic Indexing, which maximizes the join...
Deng Cai, Qiaozhu Mei, Jiawei Han, Chengxiang Zhai