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KDD
2004
ACM
210views Data Mining» more  KDD 2004»
15 years 10 months ago
Probabilistic author-topic models for information discovery
We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic pro...
Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, T...
KDD
2007
ACM
122views Data Mining» more  KDD 2007»
15 years 10 months ago
Expertise modeling for matching papers with reviewers
An essential part of an expert-finding task, such as matching reviewers to submitted papers, is the ability to model the expertise of a person based on documents. We evaluate seve...
David M. Mimno, Andrew McCallum
KDD
2006
ACM
141views Data Mining» more  KDD 2006»
15 years 10 months ago
Statistical entity-topic models
The primary purpose of news articles is to convey information about who, what, when and where. But learning and summarizing these relationships for collections of thousands to mil...
David Newman, Chaitanya Chemudugunta, Padhraic Smy...
ECIR
2009
Springer
15 years 7 months ago
Topic and Trend Detection in Text Collections Using Latent Dirichlet Allocation
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 ...
Levent Bolelli, Seyda Ertekin, C. Lee Giles
CSCWD
2009
Springer
15 years 4 months ago
ETM Toolkit: A development tool based on Extended Topic Map
By research on Topic Map standard, the Extended Topic Map (ETM) is proposed as a novel model for better organization and management of the massive knowledge resources in E-learnin...
Lu Jiang, Jun Liu, Zhaohui Wu, Qinghua Zheng, Ya-n...