Student Research Abstract: Multi-Document Text Summarization for Competitor Intelligence: A Methodology based on Topic Identification and Artificial Bee Colony Optimization

被引：5

作者：

Chakraborti, Swapnajit ^{[1
]}

机构：

[1] Indian Inst Management Indore, Dept Informat Syst, Indore, MP, India

来源：

30TH ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING, VOLS I AND II | 2015年

关键词：

D O I：

10.1145/2695664.2696073

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

引用

页码：1110 / 1111

页数：2

共 8 条

[1]

Alguliev R. M., 2014, EXPERT SYSTEMS APPL, P1675

[2]

[Anonymous], 2001, Automatic Summarization

[3]

Carbonell J., 1998, Proceedings of the 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, P335, DOI 10.1145/290941.291025

[4]

DEERWESTER S, 1990, J AM SOC INFORM SCI, V41, P391, DOI 10.1002/(SICI)1097-4571(199009)41:6<391::AID-ASI1>3.0.CO

[5]

2-9

[6] A quick artificial bee colony (qABC) algorithm and its performance on optimization problems [J].

Karaboga, Dervis ;

Gorkemli, Beyza .

APPLIED SOFT COMPUTING, 2014, 23 :227-238

[7]

LIN CY, 2004, P WORKSH TEXT SUMM A

[8]

Radev D. R., 2000, CTR BASED SUMMARIZAT

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