LSX: Latent Semantic Scaling

A word embeddings-based semisupervised model for document scaling Watanabe (2017) <doi:10.1177/0267323117695735>. LSS allows users to analyze large and complex corpora on arbitrary dimensions with seed words exploiting efficiency of word embeddings (SVD, Glove).

Version: 0.9.1
Depends: quanteda (≥ 2.0), quanteda.textmodels, methods, R (≥ 3.5.0)
Imports: digest, Matrix, RSpectra, irlba, rsvd, rsparse, proxyC, grDevices, stats, ggplot2, ggrepel, reshape2, e1071
Suggests: testthat
Published: 2020-09-14
Author: Kohei Watanabe [aut, cre, cph]
Maintainer: Kohei Watanabe <watanabe.kohei at>
License: GPL-3
NeedsCompilation: no
Materials: NEWS
CRAN checks: LSX results


Reference manual: LSX.pdf
Package source: LSX_0.9.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: LSX_0.9.1.tgz, r-oldrel: LSX_0.9.1.tgz
Old sources: LSX archive


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