FMAT: The Fill-Mask Association Test
The Fill-Mask Association Test ('FMAT') is an integrative, versatile,
and probability-based method that uses Masked Language Models
to measure conceptual associations or relations
(e.g., attitudes, biases, stereotypes, social norms, cultural values)
as propositional representations in natural language.
The supported language models include
'BERT' (Devlin et al., 2018) <arXiv:1810.04805>
and its model variants available at 'Hugging Face'
<https://huggingface.co/models?pipeline_tag=fill-mask>.
'Python' ('conda') environment and the 'transformers' module can be
installed automatically using the FMAT_load() function.
Methodological references and technical details are provided at
<https://psychbruce.github.io/FMAT/>.
| Version: |
2023.8 |
| Depends: |
R (≥ 4.0.0) |
| Imports: |
PsychWordVec, psych, reticulate, text, data.table, stringr, forcats, glue, cli, purrr, plyr, dplyr, tidyr |
| Suggests: |
bruceR, nlme, parallel |
| Published: |
2023-08-11 |
| 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 (>= 3.6.0) |
| Materials: |
README NEWS |
| CRAN checks: |
FMAT results |
Documentation:
Downloads:
Linking:
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