Difference between revisions of "Link-PLSA-LDA: A new unsupervised model for topics and influence of blogs"

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== Summary ==
 
== Summary ==
 
This paper presents a novel, unsupervised model based of topics and topic specific influences in blogs. It is compared with Link-LDA and performs better. It intends to address two issues at once: topic discovery and modeling topic specific influence of blogs.
 
This paper presents a novel, unsupervised model based of topics and topic specific influences in blogs. It is compared with Link-LDA and performs better. It intends to address two issues at once: topic discovery and modeling topic specific influence of blogs.
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When one blog cites another, this is viewed as a uni-dimensional link.
  
 
Not completely generative due to hyperlinked documents being fixed.
 
Not completely generative due to hyperlinked documents being fixed.
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* LDA
 
* LDA
* Link-LDA
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* [[Cohn_Hofmann]] PHITS dubbed (Link-PLSA) in this paper
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* [[Eroshedva_et_al]] dubbed (Link-LDA) in this paper

Revision as of 18:50, 30 November 2012

Citation

Ramesh Nallapti and William Cohen. Link-PLSA-LDA: A new unsupervised model for topics and influence of blogs. In Proc of AAAI 2008.

Online Version

Link-PLSA-LDA: A new unsupervised model for topics and influence of blogs.

Summary

This paper presents a novel, unsupervised model based of topics and topic specific influences in blogs. It is compared with Link-LDA and performs better. It intends to address two issues at once: topic discovery and modeling topic specific influence of blogs.

When one blog cites another, this is viewed as a uni-dimensional link.

Not completely generative due to hyperlinked documents being fixed.

Dataset

Model

Topic Discovery

Modeling Topic Specific Influence of Blogs

Experiments

Study Plan