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AI Coding with Few-Shot Prompting for Thematic Analysis
Published 10 Apr 2025 in cs.CL | (2504.07408v1)
Abstract: This paper explores the use of LLMs, here represented by GPT 3.5-Turbo to perform coding for a thematic analysis. Coding is highly labor intensive, making it infeasible for most researchers to conduct exhaustive thematic analyses of large corpora. We utilize few-shot prompting with higher quality codes generated on semantically similar passages to enhance the quality of the codes while utilizing a cheap, more easily scalable model.
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