Systems and Tools to Use NLP and LLMs: Getting Started

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 5 in AI for Qualitative Research, 2026, pp 49-73 from Springer

Abstract: Abstract This chapter introduces essential systems and tools for leveraging various natural language processing (NLP) tasks and large language models (LLMs) in qualitative analysis, emphasizing accessibility for noncoders. It begins with an overview of the Python programming language and introduces tools such as the Pandas library, integrated development environments (IDEs), Jupyter notebooks, and application programming interfaces (APIs) for accessing LLMs. A second section provides a hands-on guide for setting up a computer environment, with step-by-step code examples designed to familiarize readers with NLP libraries and LLMs. It emphasizes the acquisition of programming skills to better adapt and utilize LLM capabilities for qualitative data analysis while providing multiple resources for further learning.

Keywords: Programming tools; Large language models (search for similar items in EconPapers)
Date: 2026
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DOI: 10.1007/978-3-032-08872-7_5

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