A thematic discovery and assignment framework is an end-to-end computational system that identifies underlying themes in text data by clustering semantically similar texts and using LLMs to generate human-interpretable labels. It enables comparative analysis of discourse across diverse platforms, distinguishing distinct messaging patterns.
This framework helps researchers find and label hidden themes in large amounts of text, especially from different online platforms. It groups similar texts together and then uses advanced AI (LLMs) to give them clear, easy-to-understand names, helping to understand how topics like climate change are discussed online.
Thematic framework, LLM-driven thematic analysis, Semantic theme discovery, Automated theme assignment
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