Computer Science ›› 2017, Vol. 44 ›› Issue (Z6): 112-114.doi: 10.11896/j.issn.1002-137X.2017.6A.024

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Fake Chapters Recognition in Shiji Based on Text Classiffication Methods

ZHAO Jian-ming, LI Chun-hui, YAO Nian-min and YAO Nian-jun   

  • Online:2017-12-01 Published:2018-12-01

Abstract: 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.

Key words: Machine learning,Natural language processing,Shiji,Fake

[1] 陈桐生.百年《史记》研究的回顾与前瞻[J].文学遗产,2001(1):120-128.
[2] 王开富.《史记·屈原列传》非伪作辨[J].重庆师院学报(哲学社会科学版),1984(2):53-57.
[3] 吴原元.百年来美国学者的《史记》研究述略[J].史学集刊,2012(4):59-68.
[4] 泷川资言.《史记会注考证附校补·史记总论》“史记附益条”[M].上海:上海古籍出版社,1986.
[5] 黄伟.基于多分类器投票集成的半监督情感分类方法研究[D].上海:上海交通大学,2015.
[6] 黄仁,张卫.基于word2vec的互联网商品评论情感倾向研究[J].计算机科学,2016,43(S1):387-389.

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