Classification method based on big data

The invention discloses a classification method based on big data. The classification method based on the big data includes the following steps: establishing a trained model; acquiring news D, and carrying out work segmentation on the news D to obtain news S; and obtaining a classification category...

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Hauptverfasser:	MA XIAOXIAO, ZHOU XI, WEN DACHUAN, YAO QINGLIN, YANG SHUHAI, FENG LIANGHUAI
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING HANDLING RECORD CARRIERS PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS
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creator	MA XIAOXIAO ZHOU XI WEN DACHUAN YAO QINGLIN YANG SHUHAI FENG LIANGHUAI
description	The invention discloses a classification method based on big data. The classification method based on the big data includes the following steps: establishing a trained model; acquiring news D, and carrying out work segmentation on the news D to obtain news S; and obtaining a classification category of the news S through the trained model. The specific training steps of the trained model include: carrying out work segmentation on news D1 to obtain news S1; establishing a VSM space vector model for the news S1, and extracting feature words t; calculating correlation probability of the news S1and all categories on the basis of the feature words t; judging whether calculation is completed, if yes, obtaining a category c with maximum correlation probability, and otherwise, continuingcalculation until calculation is completed; classifying the news S1 to the category c; and judging whether training is completed, if yes, saving the trained model, and ending training, and otherwise, continuing next training. 本发明公开了种基于
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The classification method based on the big data includes the following steps: establishing a trained model; acquiring news D, and carrying out work segmentation on the news D to obtain news S; and obtaining a classification category of the news S through the trained model. The specific training steps of the trained model include: carrying out work segmentation on news D1 to obtain news S1; establishing a VSM space vector model for the news S1, and extracting feature words t; calculating correlation probability of the news S1and all categories on the basis of the feature words t; judging whether calculation is completed, if yes, obtaining a category c with maximum correlation probability, and otherwise, continuingcalculation until calculation is completed; classifying the news S1 to the category c; and judging whether training is completed, if yes, saving the trained model, and ending training, and otherwise, continuing next training. 本发明公开了种基于</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>2018</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=20180518&DB=EPODOC&CC=CN&NR=108052556A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76290</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20180518&DB=EPODOC&CC=CN&NR=108052556A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>MA XIAOXIAO</creatorcontrib><creatorcontrib>ZHOU XI</creatorcontrib><creatorcontrib>WEN DACHUAN</creatorcontrib><creatorcontrib>YAO QINGLIN</creatorcontrib><creatorcontrib>YANG SHUHAI</creatorcontrib><creatorcontrib>FENG LIANGHUAI</creatorcontrib><title>Classification method based on big data</title><description>The invention discloses a classification method based on big data. 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The specific training steps of the trained model include: carrying out work segmentation on news D1 to obtain news S1; establishing a VSM space vector model for the news S1, and extracting feature words t; calculating correlation probability of the news S1and all categories on the basis of the feature words t; judging whether calculation is completed, if yes, obtaining a category c with maximum correlation probability, and otherwise, continuingcalculation until calculation is completed; classifying the news S1 to the category c; and judging whether training is completed, if yes, saving the trained model, and ending training, and otherwise, continuing next training. 本发明公开了种基于</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	Classification method based on big data
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