New Graph based Sequence Clustering Approach for News Article Retrieval System

被引:0
|
作者
Nagalavi, Deepa [1 ]
Hanumanthappa, M. [1 ]
机构
[1] Bangalore Univ, Dept Comp Sci & Applicat, Bangalore, Karnataka, India
来源
2017 IEEE INTERNATIONAL CONFERENCE ON POWER, CONTROL, SIGNALS AND INSTRUMENTATION ENGINEERING (ICPCSI) | 2017年
关键词
graph clustering algorithm; e-newspaper; Natural Language Processing; Information Retrieval System;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
During the past few years e-newspapers are becoming more ease and convenience in accessing timely information. It is presented in several independent news articles. The articles are very difficult to understand automatically by system, as the layout of the a newspaper page is geometrically difficult. The goal of the work is to design a system using multi perspective graph clustering algorithm. It creates the clusters of individual article to a very high degree and there should be few occurrence of misplaced articles.
引用
收藏
页码:1479 / 1482
页数:4
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