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Author:

罗衎 (罗衎.) | 马佳佳 (马佳佳.)

Indexed by:

CQVIP

Abstract:

针对不同类别文档可能被表示为相同向量的问题,在研究常用文档特征权重计算方法的基础上,分析文档中特征项之间的相对位置关系,引入文档结构矩阵DS.将DS与3种常用权重算法相结合,构造3种新模型,并利用6种模型在实际语料上进行分类实验.结果表明,基于DS的权重算法与原始权重算法相比,能够提高文本分类效果.

Keyword:

文本分类 特征选择 文档结构 向量空间模型 特征权重

Author Community:

  • [ 1 ] [罗衎]渤海证券股份有限公司
  • [ 2 ] [马佳佳]北京工业大学

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Source :

软件导刊

ISSN: 1672-7800

Year: 2019

Issue: 5

Volume: 18

Page: 65-68

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count: -1

Chinese Cited Count:

30 Days PV: 3

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