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October 9, 2025Open Access

Holistic Evaluations of Topic Models

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TCThomas Compton

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Overview

Evaluation reveals trade-offs in optimizing parameters of topic models, suggesting responsible interpretation in varied contexts.

Key Points

  • The study shows important trade-offs in optimizing parameters for topic models, indicating possible interpretation issues.
  • Analysis of 1140 BERTopic model runs provides insights that reflect on the effective use of topic models in various applications.
  • The article evaluates topic models from a database perspective, highlighting their potential risks of becoming a 'black box'.
  • These findings may guide users in understanding and responsibly interpreting outputs from machine learning models.

Cite This Study

Thomas Compton (2025) studied this question.

synapsesocial.com/papers/68e70db790569dd607ee680bhttps://doi.org/10.48550/arxiv.2507.23364
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