quanteda.textmodels

Description

Scaling models and classifiers for sparse matrix objects representing textual data in the form of a document-feature matrix. Includes original implementations of 'Laver', 'Benoit', and Garry's (2003) <doi:10.1017/S0003055403000698>, 'Wordscores' model, the Perry and 'Benoit' (2017) <doi:10.48550/arXiv.1710.08963> class affinity scaling model, and the 'Slapin' and 'Proksch' (2008) <doi:10.1111/j.1540-5907.2008.00338.x> 'wordfish' model, as well as methods for correspondence analysis, latent semantic analysis, and fast Naive Bayes and linear 'SVMs' specially designed for sparse textual data.

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installed size is  7.6Mb
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installed size is  7.4Mb
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installed size is  7.6Mb
  sub-directories of 1Mb or more:
    data   3.8Mb
    libs   3.4Mb

installed size is  7.4Mb
  sub-directories of 1Mb or more:
    data   3.8Mb
    libs   3.2Mb

installed size is  5.3Mb
  sub-directories of 1Mb or more:
    data   3.8Mb
    libs   1.2Mb

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