基于文本分类方法识别《史记》的伪作

发布时间：2018-04-20 06:06

  本文选题：机器学习 + 自然语言处理　； 参考：《计算机科学》2017年S1期

【摘要】：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。
[Abstract]:The text classification method based on machine learning is used to study the identification of false works in Records of History, which is the first general history of chronology in China, and the recognition of false works has always been a key issue in its research. However, the traditional research methods are subjective, can not be quantified, and many conclusions contradict each other. In this paper, a method of pseudo-identification based on text classification technology is proposed, and a quantitative study on pseudo-identification of "Records of the historian" is given. The method is universal and can be applied to the study of multiple literary and historical problems.
【作者单位】： 福建师范大学福清分校电子与信息工程学院;大连理工大学;大庆油田热电厂;
【分类号】：K204.2;TP181;TP391.1
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本文编号：1776549