Emotion analysis method and device, computer readable medium and electronic equipment
The embodiment of the invention provides an emotion analysis method, an emotion analysis device, a computer readable medium and electronic equipment, and relates to the technical field of data processing. The emotion analysis method comprises the steps of performing vector representation on text inf...
Gespeichert in:
Hauptverfasser: | , |
---|---|
Format: | Patent |
Sprache: | chi ; eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | |
container_start_page | |
container_title | |
container_volume | |
creator | LIU SHEWEI YANG ZHENGLIANG |
description | The embodiment of the invention provides an emotion analysis method, an emotion analysis device, a computer readable medium and electronic equipment, and relates to the technical field of data processing. The emotion analysis method comprises the steps of performing vector representation on text information to obtain a word vector of the text information; performing feature extraction on the wordvector from different dimensions to obtain a feature vector corresponding to the text information; and performing emotion classification on the text information according to the feature vector, and determining emotion polarity of the text information so as to retrieve the text information according to the emotion polarity. According to the technical scheme of the embodiment of the invention, the emotion classification of the text information is determined by extracting the features of the text information from different dimensions, the emotion analysis accuracy can be improved, and the featureextraction of different d |
format | Patent |
fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN110826327A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN110826327A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN110826327A3</originalsourceid><addsrcrecordid>eNqNyrEKwjAURuEuDqK-Q9wVbAvqKqXi5KRzickvXkhyY3Ij-PYW8QGcDge-aXXtPQtxUDpo986UlYc82I5vlcWLDFbKsI9FkFSCtvrmMCJLxX8RHIwkDmQUnoWiR5B5Nblrl7H4dVYtj_2lO60ReUCO2iBAhu5c15t9s22b3aH9x3wA6ps5Wg</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Emotion analysis method and device, computer readable medium and electronic equipment</title><source>esp@cenet</source><creator>LIU SHEWEI ; YANG ZHENGLIANG</creator><creatorcontrib>LIU SHEWEI ; YANG ZHENGLIANG</creatorcontrib><description>The embodiment of the invention provides an emotion analysis method, an emotion analysis device, a computer readable medium and electronic equipment, and relates to the technical field of data processing. The emotion analysis method comprises the steps of performing vector representation on text information to obtain a word vector of the text information; performing feature extraction on the wordvector from different dimensions to obtain a feature vector corresponding to the text information; and performing emotion classification on the text information according to the feature vector, and determining emotion polarity of the text information so as to retrieve the text information according to the emotion polarity. According to the technical scheme of the embodiment of the invention, the emotion classification of the text information is determined by extracting the features of the text information from different dimensions, the emotion analysis accuracy can be improved, and the featureextraction of different d</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; HANDLING RECORD CARRIERS ; PHYSICS ; PRESENTATION OF DATA ; RECOGNITION OF DATA ; RECORD CARRIERS</subject><creationdate>2020</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=20200221&DB=EPODOC&CC=CN&NR=110826327A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76289</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20200221&DB=EPODOC&CC=CN&NR=110826327A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>LIU SHEWEI</creatorcontrib><creatorcontrib>YANG ZHENGLIANG</creatorcontrib><title>Emotion analysis method and device, computer readable medium and electronic equipment</title><description>The embodiment of the invention provides an emotion analysis method, an emotion analysis device, a computer readable medium and electronic equipment, and relates to the technical field of data processing. The emotion analysis method comprises the steps of performing vector representation on text information to obtain a word vector of the text information; performing feature extraction on the wordvector from different dimensions to obtain a feature vector corresponding to the text information; and performing emotion classification on the text information according to the feature vector, and determining emotion polarity of the text information so as to retrieve the text information according to the emotion polarity. According to the technical scheme of the embodiment of the invention, the emotion classification of the text information is determined by extracting the features of the text information from different dimensions, the emotion analysis accuracy can be improved, and the featureextraction of different d</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</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>2020</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNyrEKwjAURuEuDqK-Q9wVbAvqKqXi5KRzickvXkhyY3Ij-PYW8QGcDge-aXXtPQtxUDpo986UlYc82I5vlcWLDFbKsI9FkFSCtvrmMCJLxX8RHIwkDmQUnoWiR5B5Nblrl7H4dVYtj_2lO60ReUCO2iBAhu5c15t9s22b3aH9x3wA6ps5Wg</recordid><startdate>20200221</startdate><enddate>20200221</enddate><creator>LIU SHEWEI</creator><creator>YANG ZHENGLIANG</creator><scope>EVB</scope></search><sort><creationdate>20200221</creationdate><title>Emotion analysis method and device, computer readable medium and electronic equipment</title><author>LIU SHEWEI ; YANG ZHENGLIANG</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN110826327A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2020</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</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>LIU SHEWEI</creatorcontrib><creatorcontrib>YANG ZHENGLIANG</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>LIU SHEWEI</au><au>YANG ZHENGLIANG</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Emotion analysis method and device, computer readable medium and electronic equipment</title><date>2020-02-21</date><risdate>2020</risdate><abstract>The embodiment of the invention provides an emotion analysis method, an emotion analysis device, a computer readable medium and electronic equipment, and relates to the technical field of data processing. The emotion analysis method comprises the steps of performing vector representation on text information to obtain a word vector of the text information; performing feature extraction on the wordvector from different dimensions to obtain a feature vector corresponding to the text information; and performing emotion classification on the text information according to the feature vector, and determining emotion polarity of the text information so as to retrieve the text information according to the emotion polarity. According to the technical scheme of the embodiment of the invention, the emotion classification of the text information is determined by extracting the features of the text information from different dimensions, the emotion analysis accuracy can be improved, and the featureextraction of different d</abstract><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | |
ispartof | |
issn | |
language | chi ; eng |
recordid | cdi_epo_espacenet_CN110826327A |
source | esp@cenet |
subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING HANDLING RECORD CARRIERS PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS |
title | Emotion analysis method and device, computer readable medium and electronic equipment |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-07T14%3A44%3A34IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=LIU%20SHEWEI&rft.date=2020-02-21&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN110826327A%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |