Kim et al., 2020 - Google Patents
Patent document clustering with deep embeddingsKim et al., 2020
View PDF- Document ID
- 609995788251593971
- Author
- Kim J
- Yoon J
- Park E
- Choi S
- Publication year
- Publication venue
- Scientometrics
External Links
Snippet
The analysis of scientific and technical documents is crucial in the process of establishing science and technology strategies. One popular method for such analysis is for field experts to manually classify each scientific or technical document into one of several predefined …
- 238000000034 method 0 abstract description 41
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- 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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- G06F17/30705—Clustering or classification
- G06F17/3071—Clustering or classification including class or cluster creation or modification
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- G06—COMPUTING; CALCULATING; COUNTING
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- G06N99/00—Subject matter not provided for in other groups of this subclass
- G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
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- G06Q10/00—Administration; Management
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