http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-109993216-A

Outgoing Links

Predicate Object
assignee http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_e1980d04abf72807e2055a415894e1c5
classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-24143
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-214
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F16-35
filingDate 2019-03-11-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_82efb821dbe4c9c608015170a813a7fa
publicationDate 2019-07-09-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-109993216-A
titleOfInvention A text classification method based on K nearest neighbors KNN and its equipment
abstract The invention discloses a text classification method and equipment based on K nearest neighbor KNN. It is used to reduce the computational complexity of text classification, more effectively represent text feature information, and improve the accuracy of text classification. The method includes: decomposing text into words, and extracting words representing feature information of the text from the words; encoding the text into a string vector by using the extracted words; calculating the character by using the KNN model The similarity between the string vector and the sample character string vector in the KNN model, according to the similarity and the classification label corresponding to the sample character string vector, determine the classification label of the character string vector and output.
isCitedBy http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110674635-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110674635-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111078885-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111078885-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112100381-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112100381-B
priorityDate 2019-03-11-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

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Predicate Subject
isDiscussedBy http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID415713197
http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID25572

Total number of triples: 21.