Supporting Qualitative Analysis with Large Language Models: Combining Codebook with GPT-3 for Deductive Coding. (arXiv:2304.10548v1 [cs.CL])

Qualitative analysis of textual contents unpacks rich and valuable
information by assigning labels to the data. However, this process is often
labor-intensive, particularly when working with large datasets. While recent
AI-based tools demonstrate utility, researchers may not have readily available
AI resources and expertise, let alone be challenged by the limited
generalizability of those task-specific models. In this study, we explored the
use of large language models (LLMs) in supporting deductive coding, a major
category of qualitative analysis where researchers …

ai resources analysis arxiv coding contents data datasets expertise gpt gpt-3 information labels labor language language models large datasets large language models llms major process researchers resources study tools utility