Multi-Document Text Summarization for Competitor Intelligence : A Methodology

被引：1

作者：

Chakraborti, Swapnajit ^{[1
]}

Dey, Shubhamoy ^{[2
]}

机构：

[1] Indian Inst Management, Dept Informat Syst, FPM Ind, Indore, Madhya Pradesh, India

[2] Indian Inst Management, Dept Informat Syst, Indore, Madhya Pradesh, India

来源：

PROCEEDINGS OF 2014 2ND INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL AND BUSINESS INTELLIGENCE (ISCBI) | 2014年

关键词：

Text Analysis; Text Summarization; Multi Document Summarization; Topic Detection; Clustering; Decision Support Systems; Competitor Intelligence;

D O I：

10.1109/ISCBI.2014.28

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

With increasing adoption of Internet and various social media technologies by companies, the web has become a rich source of information about many aspects of organizational activities. Hence one input towards gathering competitive intelligence is to mine the text sources available on the web for any particular company and use the summarized version of that information for strategic decision making. This paper discusses a methodological approach and an architecture for such summarization system which can be used for gathering competitor intelligence by the companies.

引用

页码：97 / 100

页数：4

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