Text Mining-Implementation of Extract Summarization in a Text Mining Application

被引：0

作者：

Akbar, Ali

Sultan, Ahmer

Mustafa, Atika

机构：

来源：

INTERNATIONAL SYMPOSIUM OF INFORMATION TECHNOLOGY 2008, VOLS 1-4, PROCEEDINGS: COGNITIVE INFORMATICS: BRIDGING NATURAL AND ARTIFICIAL KNOWLEDGE | 2008年

关键词：

Knowledge management; Text mining; Summarization; Extract Summary; Unstructured data;

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：

Discovering information from structured data has been evolving since quite some time in the form of data mining but discovering hidden knowledge from unstructured data (Text Mining), which is increasing more than ever globally, is currently in its infant stages. This research paper discusses in detail an implementation of Summarization implemented in our Text Mining application. We have implemented 'Extract Summarization'. The size of the summary varies depending on the compression rate specified The Candidate sentences are selected based on indicator phrases, thematic words, number of wordy and occurrence of nouns.

引用

页码：698 / 703

页数：6