Bahrami et al., 2015 - Google Patents
Computing Semantic Similarity of Documents Based on Semantic TensorsBahrami et al., 2015
View PDF- Document ID
- 9701694442938622544
- Author
- Bahrami N
- Jadidinejad A
- Nazari M
- et al.
- Publication year
External Links
Snippet
Exploiting semantic content of texts due to its wide range of applications such as finding related documents to a query, document classification and computing SEMANTIC SIMILARITY of documents has always been an important and challenging issue in …
- 235000014277 Clidemia hirta 0 abstract description 5
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
- G06F17/30684—Query execution using natural language analysis
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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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