Mining for characterising patterns in literature using correspondence analysis: an experiment on French novels.
This paper presents and describes a bottom-up methodology for the detection of stylistic traits in the syntax of literary texts. The extraction of syntactic patterns is performed blindly by a sequential pattern mining algorithm, while the identification of significant and interesting features is per...
| Publicado en: | DHQ: Digital Humanities Quarterly Vol. 11; no. 2; pp. 131 - 145 |
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| Autores principales: | , , |
| Formato: | Artículo |
| Publicado: |
Digital Humanities Quarterly
2017
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |