A methodology for topographic clustering of structured text documents

Marie-Jeanne Lesot (1) , Delphine Dard , Florence d'Alché-Buc

1 MALIRE - Machine Learning and Information Retrieval

Sets of texts are structured through a more or less refined hierarchy of sections, subsections and paragraphs; this structure contains information that should be exploited to handle these data and in particular, to enrich the comparison of texts, as a complement to the vector description of their contents. We propose a kernel-based methodology that follows this principle for a topographic clustering task and define a hierarchical kernel which compares paragraphs using the available hierarchical decomposition and in particular the provided titles.

Domaines: Informatique [cs]

Marie-Jeanne Lesot, Delphine Dard, Florence d'Alché-Buc. A methodology for topographic clustering of structured text documents. PASCAL Workshop on Learning Methods for Text Understanding and Mining, 2004, Grenoble, France. ⟨hal-01520690⟩