Phadnis et al., 2014 - Google Patents
Framework for document retrieval using latent semantic indexingPhadnis et al., 2014
View PDF- Document ID
- 10848044323647567319
- Author
- Phadnis N
- Gadge J
- Publication year
- Publication venue
- International Journal of Computer Applications
External Links
Snippet
Today, with the rapid development of the Internet, textual information is growing rapidly. So document retrieval which aims to find and organize relevant information in text collections is needed. With the availability of large scale inexpensive storage the amount of information …
- 238000000034 method 0 abstract description 16
Classifications
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- 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
- G06F17/3069—Query execution using vector based model
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- G06F17/30684—Query execution using natural language analysis
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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