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- W1535846087 abstract "In this paper, we present the authorship attribution problem. As text representation, recent studies suggest using a small set of function or very frequent words (50 or 100). On this basis, we can apply either the principal component analysis (PCA) or the correspondence analysis (CA) to visualize the relationships between text surrogates. Using the nearest neighbor approach, we can then suggest the possible author of a disputed writing. As new attribution strategy, we propose a technique based on specific vocabulary found in a text comparing to an entire corpus. Based on the nearest neighbour approach, we can derive a simple and efficient authorship attribution scheme. Using two corpora composed of excerpts taken from French and English novels, we show that the suggested classifier tends to perform better than both the PCA and the CA approach. MOTS-CLES : Categorisation de textes, attribution d'auteur, analyse des correspondances (AC), analyse en composantes principales (ACP)." @default.
- W1535846087 created "2016-06-24" @default.
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- W1535846087 date "2011-01-01" @default.
- W1535846087 modified "2023-09-24" @default.
- W1535846087 title "Quel est l'auteur de ce roman?" @default.
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