Difference between revisions of "Link-PLSA-LDA: A new unsupervised model for topics and influence of blogs"
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== Study Plan == | == Study Plan == | ||
| − | * LDA | + | * [[Latent_Dirichlet_Allocation | LDA]] |
* [[The_Missing_Link_-_A_Probabilistic_Model_of_Document_Content_and_Hypertext_Connectivity | Cohn_Hofmann]] PHITS dubbed (Link-PLSA) in this paper | * [[The_Missing_Link_-_A_Probabilistic_Model_of_Document_Content_and_Hypertext_Connectivity | Cohn_Hofmann]] PHITS dubbed (Link-PLSA) in this paper | ||
* [[Mixed_membership_models_of_scientific_publication | Erosheva_et_al]] dubbed (Link-LDA) in this paper | * [[Mixed_membership_models_of_scientific_publication | Erosheva_et_al]] dubbed (Link-LDA) in this paper | ||
Revision as of 18:54, 30 November 2012
Contents
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
- LDA
- Cohn_Hofmann PHITS dubbed (Link-PLSA) in this paper
- Erosheva_et_al dubbed (Link-LDA) in this paper
