Knowledge-driven non-cooperative personality prediction method and system
The invention discloses a non-cooperative personality prediction method and system based on knowledge driving, and the method comprises the steps: 1, enabling obtained personality-related vocabularies to serve as seed words, carrying out the translation and classification, carrying out the correctio...
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| creator | LI CHENG HUANG TAO WANG CHENG PI HUIJUAN WANG HUAZHEN KANG ZHIYONG |
| description | The invention discloses a non-cooperative personality prediction method and system based on knowledge driving, and the method comprises the steps: 1, enabling obtained personality-related vocabularies to serve as seed words, carrying out the translation and classification, carrying out the correction of a result, and constructing a seed dictionary; step 2, selecting various social media users in different category fields, acquiring original text information released by the users, preprocessing the original text information, constructing a corpus, and training a word vector model by using the corpus; step 3, calculating cosine similarity between the seed words and candidate words in the corpus by using the trained word vector model, and selecting the candidate words with large similarity to expand the seed dictionary to construct a basic dictionary; 4, performing synonym supplement on the basic dictionary, and constructing a personality dictionary; and 5, proposing a personality scoring algorithm based on the |
| format | Patent |
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step 2, selecting various social media users in different category fields, acquiring original text information released by the users, preprocessing the original text information, constructing a corpus, and training a word vector model by using the corpus; step 3, calculating cosine similarity between the seed words and candidate words in the corpus by using the trained word vector model, and selecting the candidate words with large similarity to expand the seed dictionary to construct a basic dictionary; 4, performing synonym supplement on the basic dictionary, and constructing a personality dictionary; and 5, proposing a personality scoring algorithm based on the</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; HANDLING RECORD CARRIERS ; PHYSICS ; PRESENTATION OF DATA ; RECOGNITION OF DATA ; RECORD CARRIERS</subject><creationdate>2022</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20221104&DB=EPODOC&CC=CN&NR=115292456A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76290</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20221104&DB=EPODOC&CC=CN&NR=115292456A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>LI CHENG</creatorcontrib><creatorcontrib>HUANG TAO</creatorcontrib><creatorcontrib>WANG CHENG</creatorcontrib><creatorcontrib>PI HUIJUAN</creatorcontrib><creatorcontrib>WANG HUAZHEN</creatorcontrib><creatorcontrib>KANG ZHIYONG</creatorcontrib><title>Knowledge-driven non-cooperative personality prediction method and system</title><description>The invention discloses a non-cooperative personality prediction method and system based on knowledge driving, and the method comprises the steps: 1, enabling obtained personality-related vocabularies to serve as seed words, carrying out the translation and classification, carrying out the correction of a result, and constructing a seed dictionary; step 2, selecting various social media users in different category fields, acquiring original text information released by the users, preprocessing the original text information, constructing a corpus, and training a word vector model by using the corpus; step 3, calculating cosine similarity between the seed words and candidate words in the corpus by using the trained word vector model, and selecting the candidate words with large similarity to expand the seed dictionary to construct a basic dictionary; 4, performing synonym supplement on the basic dictionary, and constructing a personality dictionary; and 5, proposing a personality scoring algorithm based on the</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>HANDLING RECORD CARRIERS</subject><subject>PHYSICS</subject><subject>PRESENTATION OF DATA</subject><subject>RECOGNITION OF DATA</subject><subject>RECORD CARRIERS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2022</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZPD0zssvz0lNSU_VTSnKLEvNU8jLz9NNzs8vSC1KLAEKKAAZxfl5iTmZJZUKBUWpKZnJJZn5eQq5qSUZ-SkKiXkpCsWVxSWpuTwMrGmJOcWpvFCam0HRzTXE2UM3tSA_PrW4IDE5NS-1JN7Zz9DQ1MjSyMTUzNGYGDUAXPw1qA</recordid><startdate>20221104</startdate><enddate>20221104</enddate><creator>LI CHENG</creator><creator>HUANG TAO</creator><creator>WANG CHENG</creator><creator>PI HUIJUAN</creator><creator>WANG HUAZHEN</creator><creator>KANG ZHIYONG</creator><scope>EVB</scope></search><sort><creationdate>20221104</creationdate><title>Knowledge-driven non-cooperative personality prediction method and system</title><author>LI CHENG ; HUANG TAO ; WANG CHENG ; PI HUIJUAN ; WANG HUAZHEN ; KANG ZHIYONG</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN115292456A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2022</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>HANDLING RECORD CARRIERS</topic><topic>PHYSICS</topic><topic>PRESENTATION OF DATA</topic><topic>RECOGNITION OF DATA</topic><topic>RECORD CARRIERS</topic><toplevel>online_resources</toplevel><creatorcontrib>LI CHENG</creatorcontrib><creatorcontrib>HUANG TAO</creatorcontrib><creatorcontrib>WANG CHENG</creatorcontrib><creatorcontrib>PI HUIJUAN</creatorcontrib><creatorcontrib>WANG HUAZHEN</creatorcontrib><creatorcontrib>KANG ZHIYONG</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>LI CHENG</au><au>HUANG TAO</au><au>WANG CHENG</au><au>PI HUIJUAN</au><au>WANG HUAZHEN</au><au>KANG ZHIYONG</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Knowledge-driven non-cooperative personality prediction method and system</title><date>2022-11-04</date><risdate>2022</risdate><abstract>The invention discloses a non-cooperative personality prediction method and system based on knowledge driving, and the method comprises the steps: 1, enabling obtained personality-related vocabularies to serve as seed words, carrying out the translation and classification, carrying out the correction of a result, and constructing a seed dictionary; step 2, selecting various social media users in different category fields, acquiring original text information released by the users, preprocessing the original text information, constructing a corpus, and training a word vector model by using the corpus; step 3, calculating cosine similarity between the seed words and candidate words in the corpus by using the trained word vector model, and selecting the candidate words with large similarity to expand the seed dictionary to construct a basic dictionary; 4, performing synonym supplement on the basic dictionary, and constructing a personality dictionary; and 5, proposing a personality scoring algorithm based on the</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING HANDLING RECORD CARRIERS PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS |
| title | Knowledge-driven non-cooperative personality prediction method and system |
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