Authorship Attribution Using the Chaos Game Representation
Wolfram Research（沃尔夫勒姆研究公司）；Faculty of Sciences, University of Craiova（克拉约瓦大学理学院）
英文摘要：
The Chaos Game Representation, a method for creating images from nucleotide sequences, is modified to make images from chunks of text documents. Machine learning methods are then applied to train classifiers based on authorship. Experiments are conducted on several benchmark data sets in English, including the widely used Federalist Papers, and one in Portuguese. Validation results for the trained classifiers are competitive with the best methods in prior literature. The methodology is also successfully applied for text categorization with encouraging results. One classifier method is moreover seen to hold promise for the task of digital fingerprinting.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
