gptzeror: Identify Text Written by Large Language Models using 'GPTZero'
An R interface to the 'GPTZero' API (<https://gptzero.me/docs>). Allows users to classify text into human and computer written with probabilities. Formats the data into data frames where each sentence is an observation. Paragraph-level and document-level predictions are organized to align with the sentences.
| Version: | 0.0.1 |
| Imports: | cli, curl, dplyr, httr2, lifecycle, tidyr |
| Suggests: | httptest2, testthat (≥ 3.0.0) |
| Published: | 2023-06-05 |
| DOI: | 10.32614/CRAN.package.gptzeror |
| Author: | Christopher T. Kenny
 [aut, cre] |
| Maintainer: | Christopher T. Kenny <christopherkenny at fas.harvard.edu> |
| BugReports: | https://github.com/christopherkenny/gptzeror/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/christopherkenny/gptzeror, https://christophertkenny.com/gptzeror/ |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | gptzeror results |
Documentation:
| Reference manual: | gptzeror.pdf |
Downloads:
| Package source: | gptzeror_0.0.1.tar.gz |
| Windows binaries: | r-devel: gptzeror_0.0.1.zip, r-release: gptzeror_0.0.1.zip, r-oldrel: gptzeror_0.0.1.zip |
| macOS binaries: | r-release (arm64): gptzeror_0.0.1.tgz, r-oldrel (arm64): gptzeror_0.0.1.tgz, r-release (x86_64): gptzeror_0.0.1.tgz, r-oldrel (x86_64): gptzeror_0.0.1.tgz |
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