FMAT: The Fill-Mask Association Test
The Fill-Mask Association Test ('FMAT')
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: |
2024.3 |
| Depends: |
R (≥ 4.0.0) |
| Imports: |
PsychWordVec, reticulate, data.table, stringr, forcats, psych, glue, cli, purrr, plyr, dplyr, tidyr |
| Suggests: |
bruceR, text, nlme |
| Published: |
2024-03-22 |
| Author: |
Han-Wu-Shuang Bao 
[aut, cre] |
| Maintainer: |
Han-Wu-Shuang Bao <baohws at foxmail.com> |
| 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:
Linking:
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