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Titlebook: Machine Learning Methods for Stylometry; Authorship Attributi Jacques Savoy Book 2020 Springer Nature Switzerland AG 2020 Stylometry.Natura

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21#
發(fā)表于 2025-3-25 04:00:44 | 只看該作者
22#
發(fā)表于 2025-3-25 08:04:01 | 只看該作者
23#
發(fā)表于 2025-3-25 13:20:04 | 只看該作者
Book 2020o all text categorization problems (like authorship attribution, psychological traits of the author, detecting fake news, etc.) grounded in stylistic features. Specifically, machine learning models as valuable tools for verifying hypotheses or revealing significant patterns hidden in datasets are pr
24#
發(fā)表于 2025-3-25 18:40:24 | 只看該作者
25#
發(fā)表于 2025-3-25 22:54:09 | 只看該作者
Distance-Based Approachesned and discussed. As a last approach, the Principal Component Analysis (PCA) is explained and used to visualize the stylistic differences between Hamilton, Madison, and Jay, the three possible authors of the .. These four authorship methods form the core of the most important methods used as authorship attribution in the humanities.
26#
發(fā)表于 2025-3-26 00:48:31 | 只看該作者
Features Identification and Selectionor category (e.g., men vs. women). All those solutions present advantages and drawbacks and this chapter exposes and illustrates them. Finally, two methods for extracting the overused terms and expressions corresponding to a given author or category are discussed and examples are presented to illustrate the required computation.
27#
發(fā)表于 2025-3-26 07:30:38 | 只看該作者
Elena Ferrante: A Case Study in Authorship Attribution, Labbé, and Zeta models, we reach the same conclusion: D. Starnone is the true writer of the .’s saga. To complement this deduction, a more qualitative analysis is performed to obtain a better understanding of the strong stylistic relationship between Elena Ferrante and Domenico Starnone.
28#
發(fā)表于 2025-3-26 09:43:49 | 只看該作者
29#
發(fā)表于 2025-3-26 13:18:40 | 只看該作者
Basic Lexical Concepts and Measurementspe-token ratio (TTR), Herdan’s C, Yule’s K) are discussed. Finally, other global stylistic measurements are presented, such as lexical density (LD), percentage of big words (BW), or the mean sentence length (MSL).
30#
發(fā)表于 2025-3-26 20:07:47 | 只看該作者
Evaluation Methodology and Test Corporabe applied to detect significant performance differences between two classifiers or between two variants of the same classification scheme. Examples, written in R, are provided to illustrate the underlying computation. Also, an interpretation of the statistical procedures and outputs is offered.
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