A text mining approach to assist the general public in the retrieval of legal documents

被引:27
作者
Chen, Yen-Liang [1 ]
Liu, Yi-Hung [1 ]
Ho, Wu-Liang [2 ]
机构
[1] Natl Cent Univ, Dept Informat Management, Jhongli 32001, Taoyuan County, Taiwan
[2] Straits Exchange Fdn, Dept Legal Serv, Taipei 10465, Taiwan
来源
JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY | 2013年 / 64卷 / 02期
关键词
text mining; information retrieval; VECTOR-SPACE MODEL; FEATURES;
D O I
10.1002/asi.22767
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Applying text mining techniques to legal issues has been an emerging research topic in recent years. Although some previous studies focused on assisting professionals in the retrieval of related legal documents, they did not take into account the general public and their difficulty in describing legal problems in professional legal terms. Because this problem has not been addressed by previous research, this study aims to design a text-mining-based method that allows the general public to use everyday vocabulary to search for and retrieve criminal judgments. The experimental results indicate that our method can help the general public, who are not familiar with professional legal terms, to acquire relevant criminal judgments more accurately and effectively.
引用
收藏
页码:280 / 290
页数:11
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