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) <doi:10.48550/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: |
1.4.3 |
| 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), tidyr (≥ 1.1.3), ggplot2, methods |
| Suggests: |
SnowballC (≥ 0.7.0), hunspell, knitr, rmarkdown, formatR |
| Published: |
2023-02-09 |
| DOI: |
10.32614/CRAN.package.conText |
| Author: |
Pedro L. Rodriguez
 [aut, cre,
cph],
Arthur Spirling
[aut],
Brandon Stewart
[aut],
Christopher Barrie
[ctb] |
| Maintainer: |
Pedro L. Rodriguez <pedro.rodriguezsosa at gmail.com> |
| 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 |