LLMing: Large Language Model (LLM) Tools for Psychological Text Analysis
A collection of large language model (LLM) text analysis methods
designed with psychological data in mind. Currently, LLMing (aka "lemming")
includes a text anomaly detection method based on the angle-based subspace
approach described by Zhang, Lin, and Karim (2015)
<doi:10.1016/j.ress.2015.05.025>.
| Version: |
1.0.0 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
Rdpack, quanteda, stopwords, stringi, reticulate, text, dbscan, pracma, stats |
| Published: |
2025-10-21 |
| DOI: |
10.32614/CRAN.package.LLMing (may not be active yet) |
| Author: |
Lindley Slipetz [aut, cre],
Teague Henry [aut],
Siqi Sun [ctb] |
| Maintainer: |
Lindley Slipetz <ddj6tu at virginia.edu> |
| BugReports: |
https://github.com/sliplr19/LLMing/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/sliplr19/LLMing |
| NeedsCompilation: |
no |
| Materials: |
README, NEWS |
| CRAN checks: |
LLMing results |
Documentation:
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