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» Multirelational Topic Models
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KDD
2004
ACM
209views Data Mining» more  KDD 2004»
16 years 1 days ago
Tracking dynamics of topic trends using a finite mixture model
In a wide range of business areas dealing with text data streams, including CRM, knowledge management, and Web monitoring services, it is an important issue to discover topic tren...
Satoshi Morinaga, Kenji Yamanishi
88
Voted
WWW
2008
ACM
16 years 9 days ago
Topic modeling with network regularization
In this paper, we formally define the problem of topic modeling with network structure (TMN). We propose a novel solution to this problem, which regularizes a statistical topic mo...
Qiaozhu Mei, Deng Cai, Duo Zhang, ChengXiang Zhai
ICDE
2006
IEEE
428views Database» more  ICDE 2006»
16 years 1 months ago
Integrating Unstructured Data into Relational Databases
In this paper we present a system for automatically integrating unstructured text into a multi-relational database using state-of-the-art statistical models for structure extracti...
Imran R. Mansuri, Sunita Sarawagi
79
Voted
ICML
2007
IEEE
16 years 13 days ago
Mixtures of hierarchical topics with Pachinko allocation
The four-level pachinko allocation model (PAM) (Li & McCallum, 2006) represents correlations among topics using a DAG structure. It does not, however, represent a nested hiera...
David M. Mimno, Wei Li, Andrew McCallum
84
Voted
ICML
2009
IEEE
16 years 13 days ago
MedLDA: maximum margin supervised topic models for regression and classification
Supervised topic models utilize document's side information for discovering predictive low dimensional representations of documents; and existing models apply likelihoodbased...
Jun Zhu, Amr Ahmed, Eric P. Xing