CITATION.cff

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
type: software
title: "CodebookAI: LLM-powered deductive coding for qualitative research"
authors:
  - family-names: Maier
    given-names: Torsten
    orcid: "https://orcid.org/0000-0000-0000-0000"
    affiliation: "Kettering University"
repository-code: "https://github.com/tmaier-kettering/CodebookAI"
license: MIT
abstract: >
  CodebookAI is a desktop application that assists qualitative researchers in
  applying deductive coding at scale using large language models. It provides
  a graphical interface for single-label and multi-label text classification,
  keyword extraction, and inter-rater reliability analysis via OpenAI's API.
keywords:
  - qualitative-research
  - deductive-coding
  - text-classification
  - large-language-models
  - openai
  - inter-rater-reliability
  - python
  - tkinter