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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… Expand
Wikipedia

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… Expand
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Highly Cited
2011
Highly Cited
2011
Latent variable models have the potential to add value to large document collections by discovering interpretable, low… Expand
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Highly Cited
2011
Highly Cited
2011
Twitter as a new form of social media can potentially contain much useful information, but content analysis on Twitter has not… Expand
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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… Expand
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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… Expand
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Highly Cited
2006
Highly Cited
2006
Some models of textual corpora employ text generation methods involving n-gram statistics, while others use latent topic… Expand
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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… Expand
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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… Expand
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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… Expand
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Highly Cited
2003
Highly Cited
2003
We address the problem of learning topic hierarchies from data. The model selection problem in this domain is daunting—which of… Expand
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