Abstract

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)

Citation

Kim, D., Jung, H. & Lee, G.G. (2003). Unsupervised Learning of mDTD Extraction Patterns for Web Text Mining. Information Processing & Management, 39(4), 623. Retrieved August 16, 2024 from https://www.learntechlib.org/p/63938/.

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Keywords

• Computer System Design
• english
• information retrieval
• Korean
• Natural language processing
• ONLINE SYSTEMS
• Web Sites
• World Wide Web