Jayabharathy et al., 2012 - Google Patents
Correlation based multi-document summarization for scientific articles and news groupJayabharathy et al., 2012
- Document ID
- 16505736942627023391
- Author
- Jayabharathy J
- Kanmani S
- Sivaranjani N
- Publication year
- Publication venue
- Proceedings of the International Conference on Advances in Computing, Communications and Informatics
External Links
Snippet
Automated information retrieval systems are used to reduce the overload of document retrieval. There is a need to provide high quality summary in order to allow the user to quickly locate the desired information. This paper proposes a new summarization technique …
- 238000000034 method 0 abstract description 44
Classifications
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- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F17/30634—Querying
- G06F17/30657—Query processing
- G06F17/30675—Query execution
- G06F17/30684—Query execution using natural language analysis
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- G06F17/3069—Query execution using vector based model
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- G06F17/30705—Clustering or classification
- G06F17/3071—Clustering or classification including class or cluster creation or modification
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- G—PHYSICS
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- 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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- G06—COMPUTING; CALCULATING; COUNTING
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