P-leader multifractal analysis for text type identification

Abstract : Among many research efforts devoted to automated art investigations, the problem of quantification of literary style remains current. Meanwhile, linguists and computer scientists have tried to sort out texts according to their types or authors. We use the recently-introduced p-leader multifractal formalism to analyze a corpus of novels written for adults and young adults, with the goal of assessing if a difference in style can be found. Our results agree with the interpretation that novels written for young adults largely follow conventions of the genre, whereas novels written for adults are less homogeneous.
Type de document :
Communication dans un congrès
ICASSP 2017, Mar 2017, New Orleans, United States. IEEE, pp.4661-4665, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing. 〈10.1109/ICASSP.2017.7953040〉
Liste complète des métadonnées

https://hal-upec-upem.archives-ouvertes.fr/hal-01579780
Contributeur : Claude Martineau <>
Soumis le : jeudi 31 août 2017 - 16:04:30
Dernière modification le : mercredi 12 septembre 2018 - 17:46:03

Identifiants

Citation

Roberto Leonarduzzi, Patrice Abry, Stéphane Jaffard, Herwig Wendt, Lucie Gournay, et al.. P-leader multifractal analysis for text type identification. ICASSP 2017, Mar 2017, New Orleans, United States. IEEE, pp.4661-4665, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing. 〈10.1109/ICASSP.2017.7953040〉. 〈hal-01579780〉

Partager

Métriques

Consultations de la notice

406