Représentations du texte pour la classification arborée et l’analyse automatique de corpus. Application à un corpus d’historiens latins

Mathématiques et sciences humaines. Mathematics and social sciences

Barthelemy, Jean-Pierre¹  Luong, Nguyen Xuan¹  Mellet, Sylvie¹  Longrée, Dominique¹ 

关键词: generic classification;    linear textual structures;    motif (pattern);    texts topological approach;    tree analysis;    lattice;    neighbourhood;   

DOI  :  10.4000/msh.11152

学科分类：数学（综合）

来源: College de France * Ecole des Hautes Etudes en Sciences Sociales (E H E S S)

【 摘 要 】

In this paper, we present different methods of automatic classification applied to a corpus of literary texts and we compare their different results; in particular we evaluate how each of them is suitable for exhibiting the generic classification of the corpus. We demonstrate that a topological approach of the texts which takes into account their linearity, i.e. the order of their micro- and macro-structures, results in better clustering than traditional quantitative methods which leave generally out of count this linear structure.

【 授权许可】

Unknown