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Uncertainty-Aware Assessment of LLM-Enhanced Topic Models: An Experton-Based Approach to Interpretability

2026-07-15

Abstract excerpt

<title>Abstract</title> <p>This study evaluates traditional, neural, and Large Language Model (LLM)-enhanced topic modeling approaches in a specialized tourism corpus. We compare Latent Semantic Indexing, Non-negative Matrix Factorization, Latent Dirichlet Allocation, Structural Topic Modeling, Neural LDA, and BERTopic, and then examine how LLM-based topic refinement affects topic representation, coherence, diver...

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Literature Corpus work
20de9b38-30b7-58c4-b611-c02438dcaece
DOI
10.21203/rs.3.rs-10208366/v1
Open publication

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Uncertainty-Aware Assessment of LLM-Enhanced Topic Models: An Experton-Based Approach to InterpretabilityDOI 10.21203/rs.3.rs-10208366/v1
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