To Determine the Weight in a Weighted Sum Method for Domain-Specific Keyword Extraction

Author

Liu, Wenshuo ; Li, Wenxin

Author_Institution

Key Lab. of Machine Perception, Beijing Supertool Internet Technol. Co.Ltd., Beijing

Volume

1

fYear

2009

fDate

22-24 Jan. 2009

Firstpage

11

Lastpage

15

Abstract

Keyword extraction has been a very traditional topic in Natural Language Processing. However, most methods have been too complicated and slow to be applied in real applications, for example in web-based system. This paper proposes an approach which will complete some preparing works focusing on exploring the linguistic characteristics of a specific domain. This part can be completed once and for all and thus reduce the burden in the real extraction process. It is a weighted sum method and the preparing work focus on finding out the weight. Once we have the weight, the extraction can be completed by addition, multiplication and sort, which are quite simple for modern computer. Experimental results show the effectiveness of the proposed approach.

Keywords

feature extraction; linguistics; natural language processing; text analysis; domain-specific keyword extraction; linguistic characteristics; modern computer; natural language processing; weighted sum method; Data mining; Genetic algorithms; Internet; Laboratories; Machine learning; Machine learning algorithms; Natural language processing; Predictive models; Speech; Statistics; keyword extraction; weight vector;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Engineering and Technology, 2009. ICCET '09. International Conference on

Conference_Location

Singapore

Print_ISBN

978-1-4244-3334-6

Type

conf

DOI

10.1109/ICCET.2009.136

Filename

4769417