Clustering and Topic Modeling

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 9 in AI for Qualitative Research, 2026, pp 127-145 from Springer

Abstract: Abstract This chapter presents clustering and topic modeling as important techniques in natural language processing (NLP) for qualitative research. It highlights topic modeling as a specialized form of clustering aimed at uncovering hidden thematic structures within text datasets. Large language models (LLMs) improve the interpretability and coherence of topics compared with traditional methods. This chapter also addresses limitations such as topic instability and model hallucinations. Practical code examples illustrate the implementation of topic generation and assignment, thereby fostering a deeper understanding of the applicability of this NLP task in qualitative analysis.

Keywords: Topic modeling; 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_9

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