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This chapter introduces a case study of how to apply unsupervised ML to science education-related language data. We will start with dimensionality reduction and hierarchical-agglomerative clustering. Later on, we will extend these analyses using LLMs and more involved clustering techniques.

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Unsupervised ML with Language 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

This chapter introduces a case study of how to apply unsupervised ML to science education-related language data. We will start with dimensionality reduction and hierarchical-agglomerative clustering. Later on, we will extend these analyses using LLMs and more involved clustering techniques.