Latent semantic analysis for German literature investigation

被引：0
|
作者：
Nakov, Preslav [1 ]
机构：
[1] Univ Sofia, Sofia, Bulgaria
来源：
COMPUTATIONAL INTELLIGENCE: THEORY AND APPLICATIONS, PROCEEDINGS | 2001年 / 2206卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The paper presents the results of experiments of usage of LSA for analysis of textual data. The method is explained in brief and special attention is pointed on its potential for comparison and investigation of German literature texts. Two hypotheses are tested: 1) the texts by the same author are alike and can be distinguished from the ones by different person; 2) the prose and poetry can be automatically discovered.
引用
收藏
页码：834 / 841
页数：8
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