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chatRater: Rating Text Using Large Language Models

Generates ratings for textual stimuli using large language models. It allows users to evaluate idioms and similar texts by combining context, prompts, and stimulus inputs. The package supports both 'OpenAI' and 'DeepSeek' APIs by enabling users to switch models simply by specifying the model parameter. It implements methods for constructing the request payload and parsing numeric ratings from the model outputs.

Version: 1.0.0
Imports: tidyverse, openai, httr, jsonlite
Suggests: testthat
Published: 2025-02-17
DOI: 10.32614/CRAN.package.chatRater
Author: Shiyang Zheng [aut, cre]
Maintainer: Shiyang Zheng <Shiyang.Zheng at nottingham.ac.uk>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README
CRAN checks: chatRater results

Documentation:

Reference manual: chatRater.pdf

Downloads:

Package source: chatRater_1.0.0.tar.gz
Windows binaries: r-devel: chatRater_1.0.0.zip, r-release: chatRater_1.0.0.zip, r-oldrel: chatRater_1.0.0.zip
macOS binaries: r-devel (arm64): not available, r-release (arm64): not available, r-oldrel (arm64): not available, r-devel (x86_64): chatRater_1.0.0.tgz, r-release (x86_64): chatRater_1.0.0.tgz, r-oldrel (x86_64): chatRater_1.0.0.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.