基于文本分类方法识别《史记》的伪作

Fake Chapters Recognition in Shiji Based on Text Classiffication Methods

使用基于机器学习的文本分类方法对《史记》的伪作识别进行了研究。《史记》是我国第一部纪传体通史,其伪作的识别历来是其研究中的重点问题。但传统的研究方法较为主观,不能定量,且多种结论互相矛盾。文中提出一种基于文本分类技术的伪作鉴定方法,对《史记》的伪作识别给出定量的研究。该方法具有通用性,可以应用于多个文史问题的研究中。

The text classiffication methods based on the machine learning are used to study how to distinguish the fake chapters in Shiji.Shiji is the first general history book in our country and distinguishing fake chapters is always one of the main problems in its study.But the traditional methods are subjective and can not apply quantitative analysis,and even many famous results are contradictive.In this paper,a method of distinguishing fake chapters was presented which can do quantitative research on this subject.This method can also be used in many other studies of the history.