Zing Forum

Reading

LLM-Assisted Qualitative Analysis: Implementation and Evaluation of an Automated Thematic Coding Pipeline

This article introduces a study on automated qualitative analysis using large language models. It analyzes reflective texts from 276 participants about digital distraction through a three-stage coding pipeline (open coding, theme generation, deductive coding) and compares the performance of different models such as Claude, GPT, and Qwen.

大语言模型质性分析主题编码计算社会科学人机协作ClaudeGPTQwenOllama学术研究自动化
Published 2026-05-12 05:49Recent activity 2026-05-12 05:59Estimated read 1 min
LLM-Assisted Qualitative Analysis: Implementation and Evaluation of an Automated Thematic Coding Pipeline
1

Section 01

导读 / 主楼:LLM-Assisted Qualitative Analysis: Implementation and Evaluation of an Automated Thematic Coding Pipeline

Introduction / Main Post: LLM-Assisted Qualitative Analysis: Implementation and Evaluation of an Automated Thematic Coding Pipeline

This article introduces a study on automated qualitative analysis using large language models. It analyzes reflective texts from 276 participants about digital distraction through a three-stage coding pipeline (open coding, theme generation, deductive coding) and compares the performance of different models such as Claude, GPT, and Qwen.