Enhancing Qualitative Coding with Large Language Models: Potential and Challenges
Kim Uittenhove & Olivier Mucchiut · AFC Lab / University of Lausanne
Mon, Oct 16, 2023 · 10:30 UTC
Qualitative coding is the process of categorizing and labeling raw data to identify themes, patterns, and concepts within qualitative research. This process requires significant time, reflection, and discussion, often characterized by inherent subjectivity and uncertainty. Here, we explore the possibility to leverage large language models (LLM) to enhance the process and assist researchers with qualitative coding. LLMs, trained on extensive human-generated text, possess an architecture that renders them capable of understanding the broader context of a conversation or text. This allows them to