Machine Learning Methods for Stylometry: Authorship Attribution and Author Profiling by Jacques Savoy
English | PDF | 2020 | 294 Pages | ISBN : 303053359X | 4.43 MB
This book presents methods and approaches used to identify the true author of a doubtful document or text excerpt. It provides a broad introduction to 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 presented in detail. Stylometry is a multi-disciplinary field combining linguistics with both statistics and computer science.