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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.
Getting started
Browse package contents
Package details |
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| Author | Christopher T. Kenny [aut, cre] (<https://orcid.org/0000-0002-9386-6860>) |
| Maintainer | Christopher T. Kenny <christopherkenny@fas.harvard.edu> |
| License | MIT + file LICENSE |
| Version | 0.0.1 |
| URL | https://github.com/christopherkenny/gptzeror https://christophertkenny.com/gptzeror/ |
| Package repository | View on CRAN |
| Installation |
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