Topic model

Known as: Topic modeling 
In machine learning and natural language processing, a topic model is a type of statistical model for discovering the abstract "topics" that occur in… (More)
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Papers overview

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Highly Cited
2011
Highly Cited
2011
Researchers have access to large online archives of scientific articles. As a consequence, finding relevant papers has become… (More)
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Highly Cited
2011
Highly Cited
2011
Large organizations often face the critical challenge of sharing information and maintaining connections between disparate… (More)
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Highly Cited
2010
Highly Cited
2010
Social networks such as Facebook, LinkedIn, and Twitter have been a crucial source of information for a wide spectrum of users… (More)
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Highly Cited
2009
Highly Cited
2009
Probabilistic topic models are a popular tool for the unsupervised analysis of text, providing both a predictive model of future… (More)
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Highly Cited
2009
Highly Cited
2009
A natural evaluation metric for statistical topic models is the probability of held-out documents given a trained model. While… (More)
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Highly Cited
2009
Highly Cited
2009
A significant portion of the world’s text is tagged by readers on social bookmarking websites. Credit attribution is an inherent… (More)
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Highly Cited
2007
Highly Cited
2007
Topic models, such as latent Dirichlet allocation (LDA), can be useful tools for the statistical analysis of document collections… (More)
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Highly Cited
2005
Highly Cited
2005
Topic models, such as latent Dirichlet allocation (LDA), can be useful tools for the statistical analysis of document collections… (More)
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Highly Cited
2004
Highly Cited
2004
We introduce the author-topic model, a generative model for documents that extends Latent Dirichlet Allocation (LDA; Blei, Ng… (More)
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Highly Cited
2004
Highly Cited
2004
We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if… (More)
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