CRAN/E | LSX

LSX

Semi-Supervised Algorithm for Document Scaling

Installation

About

A word embeddings-based semi-supervised model for document scaling Watanabe (2020) doi:10.1080/19312458.2020.1832976. LSS allows users to analyze large and complex corpora on arbitrary dimensions with seed words exploiting efficiency of word embeddings (SVD, Glove). It can generate word vectors on a users-provided corpus or incorporate a pre-trained word vectors.

koheiw.github.io/LSX/
Bug report File report

Key Metrics

Version 1.4.0
R ≥ 3.5.0
Published 2024-03-05 55 days ago
Needs compilation? no
License GPL-3
CRAN checks LSX results

Downloads

Yesterday 8 -11%
Last 7 days 148 +6%
Last 30 days 553 -17%
Last 90 days 1.722 -3%
Last 365 days 6.087 +7%

Maintainer

Maintainer

Kohei Watanabe

watanabe.kohei@gmail.com

Authors

Kohei Watanabe

aut / cre / cph

Material

NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

LSX archive

Depends

methods
R ≥ 3.5.0

Imports

quanteda ≥ 2.0
quanteda.textstats
stringi
digest
Matrix
RSpectra
irlba
rsvd
rsparse
proxyC
stats
ggplot2
ggrepel
reshape2
locfit

Suggests

knitr
rmarkdown
testthat