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Machine Learning Methods for Stylometry: Authorship Attribution and Author Profiling Jacques Savoy 1st ed. 2020 edition
Machine Learning Methods for Stylometry: Authorship Attribution and Author Profiling
Jacques Savoy
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 |