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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) <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 |
| 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 |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=conText
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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