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This chapter provides an overview of text clustering, its process, key algorithms, semi-supervised methods, and research from the Beijing Institute of Technology’s NLPIR lab. It covers five major clustering algorithms and their applications, with a focus on text similarity measurement methods like cosine similarity. The chapter also introduces a new method for detecting Top N hot topics using key feature clustering.

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Text Clustering

  • 章节

  • 发表日期：

    2025年

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  • Huaping Zhang,
  • Jianyun Shang

摘要

This chapter provides an overview of text clustering, its process, key algorithms, semi-supervised methods, and research from the Beijing Institute of Technology’s NLPIR lab. It covers five major clustering algorithms and their applications, with a focus on text similarity measurement methods like cosine similarity. The chapter also introduces a new method for detecting Top N hot topics using key feature clustering.