多节
发表于 2025-3-25 04:00:44
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Guaff豪情痛饮
发表于 2025-3-25 08:04:01
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jagged
发表于 2025-3-25 13:20:04
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
FLAX
发表于 2025-3-25 18:40:24
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冬眠
发表于 2025-3-25 22:54:09
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.
Eeg332
发表于 2025-3-26 00:48:31
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.
Catheter
发表于 2025-3-26 07:30:38
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.
羊齿
发表于 2025-3-26 09:43:49
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行为
发表于 2025-3-26 13:18:40
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).
陪审团每个人
发表于 2025-3-26 20:07:47
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.