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.">

quanteda.textmodels: Scaling Models and Classifiers for Textual Data (original) (raw)

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.

Version: 0.9.9
Depends: R (≥ 3.1.0), methods
Imports: glmnet, LiblineaR, Matrix (≥ 1.2), quanteda (≥ 4.0.0), RSpectra, Rcpp (≥ 0.12.12), SparseM, stringi
LinkingTo: Rcpp, RcppArmadillo (≥ 0.7.600.1.0), quanteda
Suggests: ca, covr, fastNaiveBayes, knitr, lsa, microbenchmark, naivebayes, quanteda.textplots, spelling, testthat, rmarkdown
Published: 2024-09-03
DOI: 10.32614/CRAN.package.quanteda.textmodels
Author: Kenneth Benoit ORCID iD [cre, aut, cph], Kohei Watanabe ORCID iD [aut], Haiyan Wang ORCID iD [aut], Patrick O. Perry ORCID iD [aut], Benjamin LauderdaleORCID iD [aut], Johannes Gruber ORCID iD [aut], William Lowe ORCID iD [aut], Vikas Sindhwani [cph] (authored svmlin C++ source code), European Research Council [fnd] (ERC-2011-StG 283794-QUANTESS)
Maintainer: Kenneth Benoit
License: GPL-3
URL: https://github.com/quanteda/quanteda.textmodels
NeedsCompilation: yes
Language: en-GB
Materials: README NEWS
CRAN checks: quanteda.textmodels results

Documentation:

Downloads:

Reverse dependencies:

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=quanteda.textmodelsto link to this page.