Chen et al., 2012 - Google Patents
Concept extraction and clustering for search result organization and virtual community constructionChen et al., 2012
View PDF- Document ID
- 5068688509143709006
- Author
- Chen S
- Chang C
- Nien Y
- Ke H
- et al.
- Publication year
- Publication venue
- Computer Science and Information Systems
External Links
Snippet
This study proposes a concept extraction and clustering method, which improves Topic Keyword Clustering by using Log Likelihood Ratio for semantic correlation and Bisection K- Means for document clustering. Two value-added services are proposed to show how this …
- 238000000605 extraction 0 title abstract description 42
Classifications
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- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30861—Retrieval from the Internet, e.g. browsers
- G06F17/30864—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
- G06F17/30867—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
-
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- G06F17/30634—Querying
- G06F17/30657—Query processing
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- G06F17/30684—Query execution using natural language analysis
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- G06F17/3071—Clustering or classification including class or cluster creation or modification
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