Classification et catégorisation automatiques : application à l'analyse thématique des données textuelles

Since a few years, several literature and humanities research projects have tried to integrate automatic data-processing dimensions into their objectives. In spite of each project’s specificities, most of the projects’ objectives concern the comprehension and the automatic processing of thematic analysis of textual data. In this paper, we present a data processing sequence adapted to thematic analysis of textual data. The specificity of this data processing sequence lies in its use of data classification and automatic categorization techniques. We present results of an experiment on a philosophical corpus.

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