Add to ORKGInternational audienceThis 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 performed at a later stage by using correspondence analysis and by ranking patterns by contribution
Writers are often viewed as having an inherent style which can serve as a literary fingerprint. By ...
Background. Today, in the field of artificial intelligence, there are natural language processing t...
The analysis of an author's writing style implies the characterization and identification of the sty...
International audienceThis paper presents and describes a bottom-up methodology for the detection of...
International audienceIn this paper, we study the use of data mining techniques for stylistic analys...
Edited by Alexander Gelbukh.. - 1st ed. 2012.Édition papier : ISBN 9783642286032. Édition numérique:...
Editeurs : Anne Dister, Dominique Longrée, Gérald Purnelle.ISBN : 978-2-9601246-0-6.International au...
International audienceThis work uses computational approaches to study literature. It addresses the ...
The present thesis locates itself in the interdisciplinary field of computational stylistics, namely...
International audienceGreat authors of fiction and theatre have the capacity of creating memorable c...
In the second half of the 19th century, some French literary critics proclaimed the scientific natur...
International audienceThe genesis of this book was in a four-year collaborative research project Phr...
Statistical methods have been widely employed in many practical natural language processing applicat...
International audienceThe way in which authors express themselves is unique but changes over their l...
International audienceThis paper deals with the exploration of genre-specific phraseology, more prec...
Writers are often viewed as having an inherent style which can serve as a literary fingerprint. By ...
Background. Today, in the field of artificial intelligence, there are natural language processing t...
The analysis of an author's writing style implies the characterization and identification of the sty...
International audienceThis paper presents and describes a bottom-up methodology for the detection of...
International audienceIn this paper, we study the use of data mining techniques for stylistic analys...
Edited by Alexander Gelbukh.. - 1st ed. 2012.Édition papier : ISBN 9783642286032. Édition numérique:...
Editeurs : Anne Dister, Dominique Longrée, Gérald Purnelle.ISBN : 978-2-9601246-0-6.International au...
International audienceThis work uses computational approaches to study literature. It addresses the ...
The present thesis locates itself in the interdisciplinary field of computational stylistics, namely...
International audienceGreat authors of fiction and theatre have the capacity of creating memorable c...
In the second half of the 19th century, some French literary critics proclaimed the scientific natur...
International audienceThe genesis of this book was in a four-year collaborative research project Phr...
Statistical methods have been widely employed in many practical natural language processing applicat...
International audienceThe way in which authors express themselves is unique but changes over their l...
International audienceThis paper deals with the exploration of genre-specific phraseology, more prec...
Writers are often viewed as having an inherent style which can serve as a literary fingerprint. By ...
Background. Today, in the field of artificial intelligence, there are natural language processing t...
The analysis of an author's writing style implies the characterization and identification of the sty...