计算机科学 ›› 2012, Vol. 39 ›› Issue (10): 104-107.

• 计算机网络与信息安全 • 上一篇    下一篇

一种基于文本特征提取的版权保护方法

雷军程,黄同成,柳小文   

  1. (长沙理工大学计算机与通信工程学院 长沙410076);(召卜阳学院信息工程系 邵阳422000)
  • 出版日期:2018-11-16 发布日期:2018-11-16

New Copyright Protection Method Based on Text Feature Extraction

  • Online:2018-11-16 Published:2018-11-16

摘要: 互联网上,文本非法复制和盗版现象日益严重,因此迫切需要有效的文本版权保护方案。借助于特征提取方法和文本分类技术,针对具有版权争议的文字作品,提出了一种基于文本特征提取的作者识别方法。实验结果表明,提出的算法能够区别出不同作者的文字作品,能有效地把一个具有争议的文字作品进行分类,并识别出作者。因此该方法可以辅助解决争议作品(特别是著名作者的争议作品)的版权纠纷,打击盗版,维护诚信。

关键词: 特征提取,数据挖掘,版权保护

Abstract: On the Internet, the illegal copying and piracy of text arc becoming increasingly serious, so there is an urgent need for effective text copyright protection method. This paper proposed a new text copyright protection method based on text feature extraction and text classification techniques. The experiments show that the proposed algorithm can distinguish the different authors and can effectively classify a controversial literary works, and identify the real author.Therefore the method can assist to resolve the copyright disputes of dispute works (especially the famous works) to mamtam mtcgnty.

Key words: Feature extraction, Data mining, Copyright protection

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