姚念民

个人信息Personal Information

教授

博士生导师

硕士生导师

任职 : 智能计算教研室主任

性别:男

毕业院校:吉林大学

学位:博士

所在单位:计算机科学与技术学院

学科:计算机应用技术. 计算机软件与理论

办公地点:创新园大厦A820

联系方式:13304609362

电子邮箱:lucos@dlut.edu.cn

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基于文本分类方法识别《史记》的伪作

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发表时间:2022-10-10

发表刊物:计算机科学

卷号:44

期号:z1

页面范围:112-114

ISSN号:1002-137X

摘要: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.

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