Using LLMs in Qualitative Analysis

Diana Garcia Quevedo () and Josue Kuri ()
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Diana Garcia Quevedo: ESCP Business School, Center of Research in Sustainability (RESET)
Josue Kuri: Principal Scientist

Chapter 6 in AI for Qualitative Research, 2026, pp 75-79 from Springer

Abstract: Abstract This chapter presents the method developed by Garcia Quevedo et al. in Organizational Research Methods (2025) for qualitative analysis of large, unstructured datasets using large language models (LLMs). It addresses the limitations of traditional random sampling by proposing a structured approach that efficiently explores and selects relevant data for manual analysis. The method integrates three natural language processing (NLP) tasks: sentiment analysis, topic modeling, and information retrieval, allowing for comprehensive dataset exploration and selection. These tasks are covered in the subsequent chapters.

Keywords: Qualitative analysis; Natural language processing; Large language models (search for similar items in EconPapers)
Date: 2026
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DOI: 10.1007/978-3-032-08872-7_6

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