DocumentCode
2566333
Title
Speech Tagging Based Improvement of the RSS Polymerization News
Author
Bi, Ying ; Ma, Peijun ; Jing, Yixin ; Baik, Doo-Kwon
fYear
2007
fDate
15-19 Dec. 2007
Firstpage
1000
Lastpage
1004
Abstract
Since a significant amount of redundant information causes problems like inefficiency or congestion in the existing RSS, a method using part of speech (pos) tagging to extract keywords is proposed to solve these problems. Firstly, the title of news is analyzed by using Chinese word segmentation and speech tagging system. Then, the keywords of the title are identified according to their part of speech. All of the extracted keywords are compared, categorized and stored according to the proposed criterion in this paper. In that case, all the news in the same category is identical or similar. Thus, redundant news can be hidden to users. According to the operation, statistics, comparison and analysis of system, and the
Keywords
Computer science; Data mining; Information retrieval; Internet; Polymers; Software systems; Speech analysis; Statistical analysis; Statistics; Tagging;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Security, 2007 International Conference on
Conference_Location
Harbin, China
Print_ISBN
0-7695-3072-9
Electronic_ISBN
978-0-7695-3072-7
Type
conf
DOI
10.1109/CIS.2007.165
Filename
4415498
Link To Document