Can large language models be used to code text for thematic analysis? An explorative study
Abstract In practice, thematic analysis of text involves six stages, among which text coding is particularly cognitively demanding, labor-intensive, and time-consuming. This study investigates and compares the potential of two large language models (LLMs), namely ChatGPT-4 and OpenAI o1-preview, to...
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| Main Authors: | Zhiyong Han, Aaron Tavasi, JuYoung Lee, Joshua Luzuriaga, Kevin Suresh, Michael Oppenheim, Fortunato Battaglia, Stanley R. Terlecky |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-07-01
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| Series: | Discover Artificial Intelligence |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44163-025-00441-3 |
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