Hafeez et al., 2018 - Google Patents
Topic based summarization of multiple documents using semantic analysis and clusteringHafeez et al., 2018
View PDF- Document ID
- 9648711662549102517
- Author
- Hafeez R
- Khan S
- Abbas M
- Maqbool F
- Publication year
- Publication venue
- 2018 15th International conference on smart cities: improving quality of life using ICT & IoT (HONET-ICT)
External Links
Snippet
Document summarization addresses the problem of presenting the information in a compact form to the readers. Different approaches to summarize documents have been proposed and evaluated in literature. Common research problems in multi-document summarization …
- 238000004458 analytical method 0 title abstract description 8
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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- G06F17/30705—Clustering or classification
- G06F17/3071—Clustering or classification including class or cluster creation or modification
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- G06F17/30716—Browsing or visualization
- G06F17/30719—Summarization for human users
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