# AI Coding with Few-Shot Prompting for Thematic Analysis

arXiv: https://arxiv.org/abs/2504.07408 · HTML: https://mlsanity.com/paper/2504.07408/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 0 of its 2 references that are in the map.
- First posted on arXiv 10 Apr 2025.

## Abstract (arXiv)

This paper explores the use of large language models (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.