Correction: A correlated topic model of Science
نویسندگان
چکیده
منابع مشابه
A correlated topic model of Science
Topic models, such as latent Dirichlet allocation (LDA), can be useful tools for the statistical analysis of document collections and other discrete data. The LDA model assumes that the words of each document arise from a mixture of topics, each of which is a distribution over the vocabulary. A limitation of LDA is the inability to model topic correlation even though, for example, a document ab...
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Conventional correlated topic models are able to capture correlation structure among latent topics by replacing the Dirichlet prior with the logistic normal distribution. Word embeddings have been proven to be able to capture semantic regularities in language. Therefore, the semantic relatedness and correlations between words can be directly calculated in the word embedding space, for example, ...
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ژورنال
عنوان ژورنال: The Annals of Applied Statistics
سال: 2007
ISSN: 1932-6157
DOI: 10.1214/07-aoas136