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@ -19501,3 +19501,32 @@ feature co-occurrences, analyzing keywords, computing feature similarities and
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distances, applying content dictionaries, applying supervised and unsupervised
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distances, applying content dictionaries, applying supervised and unsupervised
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machine learning, visually representing text and text analyses, and more.")
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machine learning, visually representing text and text analyses, and more.")
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(license license:gpl3)))
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(license license:gpl3)))
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(define-public r-topicmodels
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(package
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(name "r-topicmodels")
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(version "0.2-9")
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(source
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(origin
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(method url-fetch)
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(uri (cran-uri "topicmodels" version))
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(sha256
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(base32
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"1757r5x8bsl4dk106xg6481mvdkdz9vwg87n7rpbvdkavsvhyxs0"))))
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(properties `((upstream-name . "topicmodels")))
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(build-system r-build-system)
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(native-inputs
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`(("gsl" ,gsl)))
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(propagated-inputs
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`(("r-modeltools" ,r-modeltools)
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("r-slam" ,r-slam)
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("r-tm" ,r-tm)))
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(home-page "https://cran.r-project.org/package=topicmodels")
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(synopsis "Topic models")
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(description
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"This package provides an interface to the C code for @dfn{Latent
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Dirichlet Allocation} (LDA) models and @dfn{Correlated Topics Models} (CTM) by
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David M. Blei and co-authors and the C++ code for fitting LDA models using
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Gibbs sampling by Xuan-Hieu Phan and co-authors.")
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(license license:gpl2)))
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