FMAT: The Fill-Mask Association Test (original) (raw)
The Fill-Mask Association Test ('FMAT') <doi:10.1037/pspa0000396> is an integrative and probability-based method using Masked Language Models to measure conceptual associations (e.g., attitudes, biases, stereotypes, social norms, cultural values) as propositions in natural language. Supported language models include 'BERT' <doi:10.48550/arXiv.1810.04805> and its variants available at 'Hugging Face' <https://huggingface.co/models?pipeline_tag=fill-mask>. Methodological references and installation guidance are provided at <https://psychbruce.github.io/FMAT/>.
Version: | 2024.7 |
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Depends: | R (≥ 4.0.0) |
Imports: | reticulate, data.table, stringr, forcats, psych, irr, glue, crayon, cli, purrr, plyr, dplyr, tidyr |
Suggests: | bruceR, PsychWordVec, text, sweater, nlme |
Published: | 2024-07-29 |
DOI: | 10.32614/CRAN.package.FMAT |
Author: | Han-Wu-Shuang Bao [aut, cre] |
Maintainer: | Han-Wu-Shuang Bao |
BugReports: | https://github.com/psychbruce/FMAT/issues |
License: | GPL-3 |
URL: | https://psychbruce.github.io/FMAT/ |
NeedsCompilation: | no |
SystemRequirements: | Python (>= 3.9.0) |
Materials: | README NEWS |
CRAN checks: | FMAT results |
Documentation:
Downloads:
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