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» Learning Summary Content Units with Topic Modeling
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ICML
2006
IEEE
15 years 10 months ago
Dynamic topic models
A family of probabilistic time series models is developed to analyze the time evolution of topics in large document collections. The approach is to use state space models on the n...
David M. Blei, John D. Lafferty
MM
2009
ACM
269views Multimedia» more  MM 2009»
15 years 4 months ago
Semi-supervised topic modeling for image annotation
We propose a novel technique for semi-supervised image annotation which introduces a harmonic regularizer based on the graph Laplacian of the data into the probabilistic semantic ...
Yuanlong Shao, Yuan Zhou, Xiaofei He, Deng Cai, Hu...
AIRS
2005
Springer
15 years 3 months ago
Subsite Retrieval: A Novel Concept for Topic Distillation
Topic distillation is one of the main information needs when users search the Web. In previous approaches to topic distillation, the single page was treated as the basic searching ...
Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, Guang Feng, W...
KDD
2010
ACM
235views Data Mining» more  KDD 2010»
15 years 1 months ago
The topic-perspective model for social tagging systems
In this paper, we propose a new probabilistic generative model, called Topic-Perspective Model, for simulating the generation process of social annotations. Different from other g...
Caimei Lu, Xiaohua Hu, Xin Chen, Jung-ran Park, Ti...
ICDM
2008
IEEE
172views Data Mining» more  ICDM 2008»
15 years 3 months ago
Latent Dirichlet Allocation and Singular Value Decomposition Based Multi-document Summarization
Multi-Document Summarization deals with computing a summary for a set of related articles such that they give the user a general view about the events. One of the objectives is th...
Rachit Arora, Balaraman Ravindran