conText: 'a la Carte' on Text (ConText) Embedding Regression

A fast, flexible and transparent framework to estimate context-specific word and short document embeddings using the 'a la carte' embeddings approach developed by Khodak et al. (2018) <arXiv:1805.05388> and evaluate hypotheses about covariate effects on embeddings using the regression framework developed by Rodriguez et al. (2021)<https://github.com/prodriguezsosa/EmbeddingRegression>.

Version: 1.0.0
Depends: R (≥ 3.6.0)
Imports: dplyr, Matrix (≥ 1.3-2), quanteda (≥ 3.0.0), text2vec (≥ 0.6), reshape2 (≥ 1.4.4), fastDummies (≥ 1.6.3), stringr (≥ 1.4.0), ggplot2, methods
Suggests: knitr, rmarkdown
Published: 2021-10-25
Author: Pedro L. Rodriguez ORCID iD [aut, cre, cph], Arthur Spirling ORCID iD [aut], Brandon Stewart ORCID iD [aut], Christopher Barrie ORCID iD [ctb]
Maintainer: Pedro L. Rodriguez <pedro.rodriguez at Vanderbilt.Edu>
BugReports: https://github.com/prodriguezsosa/ConText/issues
License: GPL-3
URL: https://github.com/prodriguezsosa/EmbeddingRegression
NeedsCompilation: no
Language: en-US
Materials: README
CRAN checks: conText results

Documentation:

Reference manual: conText.pdf
Vignettes: Quick Start Guide

Downloads:

Package source: conText_1.0.0.tar.gz
Windows binaries: r-devel: conText_1.0.0.zip, r-release: conText_1.0.0.zip, r-oldrel: conText_1.0.0.zip
macOS binaries: r-release (arm64): conText_1.0.0.tgz, r-release (x86_64): conText_1.0.0.tgz, r-oldrel: conText_1.0.0.tgz

Linking:

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