DocumentCode :
3185456
Title :
Using tag to help keyword extraction
Author :
Zhao, Li ; Yang, Lianhe ; Ma, Xirong
Author_Institution :
Tianjin Polytech. Univ., Tianjin, China
fYear :
2010
fDate :
3-5 Dec. 2010
Firstpage :
95
Lastpage :
98
Abstract :
Keyword extraction is an important issue in text processing. Typically, researchers utilize linguistic features and/or statistical features of texts to accomplish this job. Other valuable information, e.g. tags of documents and so forth, is usually ignored. In this paper, we propose a novel keyword extraction method named "Tag-Based Keyword Extraction" to extract keywords with the help of tags. Experiment results show that this method outperforms existing keyword extraction methods remarkably.
Keywords :
statistical analysis; text analysis; linguistic features; statistical features; tag-based keyword extraction; text processing; Computers; Data mining; Feature extraction; Noise measurement; Pragmatics; Web pages; Weight measurement; keyword extraction; tag;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Information Application (ICCIA), 2010 International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-8597-0
Type :
conf
DOI :
10.1109/ICCIA.2010.6141546
Filename :
6141546
Link To Document :
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