Text classification method and device
The invention discloses a text classification method and device. The method comprises the following steps: utilizing each unlabeled linguistic data training word vector model in a corpus to obtain a target word vector model; according to the target word vector model, carrying out word expansion on a...
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| creator | DUAN HUANZHONG LU ZHENG |
| description | The invention discloses a text classification method and device. The method comprises the following steps: utilizing each unlabeled linguistic data training word vector model in a corpus to obtain a target word vector model; according to the target word vector model, carrying out word expansion on a preset keyword corresponding to an appointed classification category to obtain a phrase set corresponding to the appointed classification category; according to the corpus, independently training a classifier for each phrase in the phrase set to obtain a target classifier independently corresponding to each phrase; according to a preset validation set, carrying out classification accuracy verification on the target classifier corresponding to each phrase, and selecting the phrase of which the classification accuracy conforms to a first set condition as a target phrase; and according to the target phrase contained in each piece of linguistic data in the corpus, selecting the linguistic data which meets a second set |
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The method comprises the following steps: utilizing each unlabeled linguistic data training word vector model in a corpus to obtain a target word vector model; according to the target word vector model, carrying out word expansion on a preset keyword corresponding to an appointed classification category to obtain a phrase set corresponding to the appointed classification category; according to the corpus, independently training a classifier for each phrase in the phrase set to obtain a target classifier independently corresponding to each phrase; according to a preset validation set, carrying out classification accuracy verification on the target classifier corresponding to each phrase, and selecting the phrase of which the classification accuracy conforms to a first set condition as a target phrase; and according to the target phrase contained in each piece of linguistic data in the corpus, selecting the linguistic data which meets a second set</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS</subject><creationdate>2016</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=20161207&DB=EPODOC&CC=CN&NR=106202177A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25543,76293</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20161207&DB=EPODOC&CC=CN&NR=106202177A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>DUAN HUANZHONG</creatorcontrib><creatorcontrib>LU ZHENG</creatorcontrib><title>Text classification method and device</title><description>The invention discloses a text classification method and device. 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The method comprises the following steps: utilizing each unlabeled linguistic data training word vector model in a corpus to obtain a target word vector model; according to the target word vector model, carrying out word expansion on a preset keyword corresponding to an appointed classification category to obtain a phrase set corresponding to the appointed classification category; according to the corpus, independently training a classifier for each phrase in the phrase set to obtain a target classifier independently corresponding to each phrase; according to a preset validation set, carrying out classification accuracy verification on the target classifier corresponding to each phrase, and selecting the phrase of which the classification accuracy conforms to a first set condition as a target phrase; and according to the target phrase contained in each piece of linguistic data in the corpus, selecting the linguistic data which meets a second set</abstract><oa>free_for_read</oa></addata></record> |
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| language | chi ; eng |
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| subjects | CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
| title | Text classification method and device |
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