TY - GEN
T1 - Speech tagging based improvement of the RSS polymerization news
AU - Bi, Ying
AU - Jing, Yixin
AU - Ma, Peijun
AU - Baik, Doo Kwon
PY - 2007
Y1 - 2007
N2 - 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 introduction of the value of P and R and the evaluation parameter, a good redundancy removing result is achieved.
AB - 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 introduction of the value of P and R and the evaluation parameter, a good redundancy removing result is achieved.
UR - http://www.scopus.com/inward/record.url?scp=48349148556&partnerID=8YFLogxK
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U2 - 10.1109/CIS.2007.212
DO - 10.1109/CIS.2007.212
M3 - Conference contribution
AN - SCOPUS:48349148556
SN - 0769530729
SN - 9780769530727
T3 - Proceedings - 2007 International Conference on Computational Intelligence and Security, CIS 2007
SP - 1000
EP - 1004
BT - Proceedings - 2007 International Conference on Computational Intelligence and Security, CIS 2007
T2 - 2007 International Conference on Computational Intelligence and Security, CIS'07
Y2 - 15 December 2007 through 19 December 2007
ER -