http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-109993216-A
Outgoing Links
Predicate | Object |
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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 |
Incoming Links
Predicate | Subject |
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isDiscussedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID415713197 http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID25572 |
Total number of triples: 21.