Model training method, event assignment processing method, equipment and medium
The invention discloses a model training method, an event assignment processing method, equipment and a medium. The training method comprises the steps: carrying out full word segmentation processing on a to-be-segmented text, and generating a first segmented word corresponding to a title text, a se...
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creator | GU CHUNFENG |
description | The invention discloses a model training method, an event assignment processing method, equipment and a medium. The training method comprises the steps: carrying out full word segmentation processing on a to-be-segmented text, and generating a first segmented word corresponding to a title text, a second segmented word corresponding to a symptom text and a third segmented word corresponding to a solution way text; acquiring a first coding vector corresponding to the first segmented word and a second coding vector corresponding to the second segmented word; acquiring a fourth coding vector corresponding to the third segmented word; and training with the fourth coding vector based on the third coding vector to generate a model. According to the method, the model is trained based on the vector corresponding to the title text of the historical event, the vector corresponding to the symptom text and the vector corresponding to the solution way text, so that the accuracy of model prediction is improved; and remote s |
format | Patent |
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The training method comprises the steps: carrying out full word segmentation processing on a to-be-segmented text, and generating a first segmented word corresponding to a title text, a second segmented word corresponding to a symptom text and a third segmented word corresponding to a solution way text; acquiring a first coding vector corresponding to the first segmented word and a second coding vector corresponding to the second segmented word; acquiring a fourth coding vector corresponding to the third segmented word; and training with the fourth coding vector based on the third coding vector to generate a model. According to the method, the model is trained based on the vector corresponding to the title text of the historical event, the vector corresponding to the symptom text and the vector corresponding to the solution way text, so that the accuracy of model prediction is improved; and remote s</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS ; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><creationdate>2021</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=20211203&DB=EPODOC&CC=CN&NR=113743746A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,309,781,886,25569,76552</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20211203&DB=EPODOC&CC=CN&NR=113743746A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>GU CHUNFENG</creatorcontrib><title>Model training method, event assignment processing method, equipment and medium</title><description>The invention discloses a model training method, an event assignment processing method, equipment and a medium. 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The training method comprises the steps: carrying out full word segmentation processing on a to-be-segmented text, and generating a first segmented word corresponding to a title text, a second segmented word corresponding to a symptom text and a third segmented word corresponding to a solution way text; acquiring a first coding vector corresponding to the first segmented word and a second coding vector corresponding to the second segmented word; acquiring a fourth coding vector corresponding to the third segmented word; and training with the fourth coding vector based on the third coding vector to generate a model. According to the method, the model is trained based on the vector corresponding to the title text of the historical event, the vector corresponding to the symptom text and the vector corresponding to the solution way text, so that the accuracy of model prediction is improved; and remote s</abstract><oa>free_for_read</oa></addata></record> |
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language | chi ; eng |
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subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC DIGITAL DATA PROCESSING PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
title | Model training method, event assignment processing method, equipment and medium |
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