Hierarchical Text Clustering

Hierarchical Text Clustering is a natural language processing technique that groups text data by constructing a hierarchical structure, aiming to discover the intrinsic organizational relationships and thematic hierarchies within a collection of documents. This method does not require predefined class numbers and can adaptively reveal clustering results at different levels, providing significant support for information retrieval, text classification, and knowledge discovery.