Machine Learning Methods for Stylometry: Authorship Attribution and Author Profiling - Jacques Savoy - Books - Springer Nature Switzerland AG - 9783030533595 - September 29, 2020
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Machine Learning Methods for Stylometry: Authorship Attribution and Author Profiling 1st ed. 2020 edition

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As deep learning represents an active field of research, information on neural network models and word embeddings applied to stylometry is provided, as well as a general introduction to the deep learning approach to solving stylometric questions.


286 pages, 101 Illustrations, color; 10 Illustrations, black and white; XIX, 286 p. 111 illus., 101

Media Books     Hardcover Book   (Book with hard spine and cover)
Released September 29, 2020
ISBN13 9783030533595
Publishers Springer Nature Switzerland AG
Pages 286
Dimensions 150 × 220 × 20 mm   ·   607 g
Language German  

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