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Analyses of Text using Transformers Models from HuggingFace, Natural Language Processing and Machine Learning

v1.8.1 · Feb 16, 2026 · GPL-3

Description

Link R with Transformers from Hugging Face to transform text variables to word embeddings; where the word embeddings are used to statistically test the mean difference between set of texts, compute semantic similarity scores between texts, predict numerical variables, and visual statistically significant words according to various dimensions etc. For more information see <https://www.r-text.org>.

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r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
r-release-linux-x86_64 OK
r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK
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OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026

Reverse Dependencies (4)

imports

Dependency Network

Dependencies Reverse dependencies topics dplyr tibble stringi tidyr ggplot2 ggrepel cowplot rlang purrr magrittr parsnip recipes rsample reticulate +6 more dependencies LLMing FMAT PsychWordVec topics text

Version History

new 1.8.1 Mar 9, 2026