Text mining through entity-relationship based information extraction

被引：4

作者：

Dey, Lipika ^{[1
]}

Abulaish, Muhammad ^{[2
]}

Sharma, Jahiruddin ^{[3
]}

Sharma, Gaurav ^{[4
]}

机构：

[1] Tata Consultancy Serv, Innovat Labs, New Delhi, India

[2] Jamia Millia Islamia, Dept Math, New Delhi, India

[3] Jamia Millia Islamia, Dept Comp Sci, New Delhi, India

[4] Indian Inst Technol, Dept Math, New Delhi 110016, India

来源：

PROCEEDING OF THE 2007 IEEE/WIC/ACM INTERNATIONAL CONFERENCE ON WEB INTELLIGENCE AND INTELLIGENT AGENT TECHNOLOGY, WORKSHOPS | 2007年

关键词：

information extraction; visualization; text mining; knowledge discovery;

D O I：

10.1109/WI-IATW.2007.75

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper we describe an information extraction and text mining system which identifies key information components from text documents. The information components are centered on domain entities and their relationships. The components mined from a repository are chained using an n-gram-based algorithm. The information chains provide a comprehensive view of the collection and can be also used for inferential reasoning.

引用

页码：177 / +

页数：2

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