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Peer reviewed Peer reviewed
ERIC Number: EJ670089
Record Type: Journal
Publication Date: 2003
Pages: N/A
Abstractor: N/A
ISBN: N/A
ISSN: ISSN-0306-4573
EISSN: N/A
Unsupervised Learning of mDTD Extraction Patterns for Web Text Mining.
Kim, Dongseok; Jung, Hanmin; Lee, Gary Geunbae
Information Processing & Management, v39 n4 p623-37 Jul 2003
Presents a new extraction pattern, modified Document Type Definition (mDTD), which relies on analytical interpretation to identify extraction target from the contents of Web documents. Experiments with 330 Korean and 220 English Web documents on audio and video shopping sites yielded an average extraction precision of 91.3% for Korean and 81.9% for English. (AEF)
Descriptors: Computer System Design, English, Information Retrieval, Korean, Natural Language Processing, Online Systems, Web Sites, World Wide Web
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A