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