{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/multiple-authors-detection-a-quantitative","title":"Multiple Authors Detection: A Quantitative Analysis of Dream of the Red Chamber","arxiv_id":"1412.6211","date":"2014-12-19","proceeding":null,"authors":["Xianfeng Hu","Yang Wang","Qiang Wu"],"abstract":"Inspired by the authorship controversy of Dream of the Red Chamber and the\napplication of machine learning in the study of literary stylometry, we develop\na rigorous new method for the mathematical analysis of authorship by testing\nfor a so-called chrono-divide in writing styles. Our method incorporates some\nof the latest advances in the study of authorship attribution, particularly\ntechniques from support vector machines. By introducing the notion of relative\nfrequency as a feature ranking metric our method proves to be highly effective\nand robust.\n  Applying our method to the Cheng-Gao version of Dream of the Red Chamber has\nled to convincing if not irrefutable evidence that the first $80$ chapters and\nthe last $40$ chapters of the book were written by two different authors.\nFurthermore, our analysis has unexpectedly provided strong support to the\nhypothesis that Chapter 67 was not the work of Cao Xueqin either.\n  We have also tested our method to the other three Great Classical Novels in\nChinese. As expected no chrono-divides have been found. This provides further\nevidence of the robustness of our method.","url_abs":"http://arxiv.org/abs/1412.6211v1","url_pdf":"http://arxiv.org/pdf/1412.6211v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"multiple-authors-detection-a-quantitative","repo_url":"https://github.com/c567wang/Maze-of-Stars","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"authorship-attribution","task_name":"Authorship Attribution"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}