Text sentiment analysis model training method and device, equipment and storage medium
The invention discloses a text sentiment analysis model training method and device, equipment and a storage medium, relates to the technical field of language processing, and can improve the accuracy of text sentiment classification when a model obtained by training through the training method is us...
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creator | WANG ENQIANG HUANG LUMING |
description | The invention discloses a text sentiment analysis model training method and device, equipment and a storage medium, relates to the technical field of language processing, and can improve the accuracy of text sentiment classification when a model obtained by training through the training method is used for text sentiment classification. According to the specific scheme, the method comprises the steps of obtaining a target text and actual emotion types of sentences in the target text; word vectors and position vectors of all words in all the sentences are determined, the word vectors are used for indicating content information of the words, and the position vectors are used for indicating position information of the words in the sentences; according to the word vectors and the position vectors of the words in the sentences and a preset sentiment analysis model, semantic correlation between the words in the sentences is analyzed and processed, and predicted sentiment types of the sentences are obtained; and acco |
format | Patent |
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According to the specific scheme, the method comprises the steps of obtaining a target text and actual emotion types of sentences in the target text; word vectors and position vectors of all words in all the sentences are determined, the word vectors are used for indicating content information of the words, and the position vectors are used for indicating position information of the words in the sentences; according to the word vectors and the position vectors of the words in the sentences and a preset sentiment analysis model, semantic correlation between the words in the sentences is analyzed and processed, and predicted sentiment types of the sentences are obtained; and acco</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS</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=20221011&DB=EPODOC&CC=CN&NR=115169345A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76290</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20221011&DB=EPODOC&CC=CN&NR=115169345A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>WANG ENQIANG</creatorcontrib><creatorcontrib>HUANG LUMING</creatorcontrib><title>Text sentiment analysis model training method and device, equipment and storage medium</title><description>The invention discloses a text sentiment analysis model training method and device, equipment and a storage medium, relates to the technical field of language processing, and can improve the accuracy of text sentiment classification when a model obtained by training through the training method is used for text sentiment classification. 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According to the specific scheme, the method comprises the steps of obtaining a target text and actual emotion types of sentences in the target text; word vectors and position vectors of all words in all the sentences are determined, the word vectors are used for indicating content information of the words, and the position vectors are used for indicating position information of the words in the sentences; according to the word vectors and the position vectors of the words in the sentences and a preset sentiment analysis model, semantic correlation between the words in the sentences is analyzed and processed, and predicted sentiment types of the sentences are obtained; and acco</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 sentiment analysis model training method and device, equipment and storage medium |
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