http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11243990-B2

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assignee http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_f2cd09520fd6e394e8a1030fee7e49ed
classificationCPCAdditional http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F40-194
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filingDate 2021-01-25-04:00^^<http://www.w3.org/2001/XMLSchema#date>
grantDate 2022-02-08-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_eeed8b2e14031275689d2e23a9a6e55e
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publicationDate 2022-02-08-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber US-11243990-B2
titleOfInvention Dynamic document clustering and keyword extraction
abstract Systems, methods and apparatuses are disclosed to cluster a plurality of documents located in any number of local and/or remote systems and applications. Preprocessed text is generated for each document, and a hash and a feature vector are determined based on the preprocessed text. A set of clusters is retrieved, wherein each cluster is associated with a hash list and a cumulative feature vector. Each of the documents may then be associated with a cluster by comparing the hash of the document to the hash lists of the clusters and/or by determining similarities between the feature vector of the document and the cumulative feature vectors of the clusters.
priorityDate 2019-03-27-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

Incoming Links

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isDiscussedBy http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID415828001
http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID130640

Total number of triples: 34.