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In this chapter we revisit supervised ML and apply it to text data. We particularly utilize a LLM in the fine-tuning paradigm to showcase how these models can be used in science education research projects.

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Automation and Explainability: Supervised Machine Learning with Text Data

  • 章节

  • 出版模式：

    开放获取

  • 发表日期：

    2025年

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  • Peter Wulff,
  • Marcus Kubsch,
  • Christina Krist

摘要

In this chapter we revisit supervised ML and apply it to text data. We particularly utilize a LLM in the fine-tuning paradigm to showcase how these models can be used in science education research projects.