Weakly Supervised Sentiment-Specific Region Discovery for VSA.

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Bibliographic Details
Title: Weakly Supervised Sentiment-Specific Region Discovery for VSA.
Authors: Xue, Luoyang1, Xu, Ang1, Mao, Qirong1, mao_qr@ujs.edu.cn, Gao, Lijian1, Chen, Jie1
Source: Computer Journal; Apr2022, Vol. 65 Issue 4, p818-830, 13p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 156372011
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Weakly Supervised Sentiment-Specific Region Discovery for VSA.
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  Data: <searchLink fieldCode="AU" term="%22Xue%2C+Luoyang%22">Xue, Luoyang</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Xu%2C+Ang%22">Xu, Ang</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Mao%2C+Qirong%22">Mao, Qirong</searchLink><relatesTo>1</relatesTo>, <i>mao_qr@ujs.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Gao%2C+Lijian%22">Gao, Lijian</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Chen%2C+Jie%22">Chen, Jie</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Computer+Journal%22">Computer Journal</searchLink>; Apr2022, Vol. 65 Issue 4, p818-830, 13p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=156372011
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1093/comjnl/bxaa112
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 13
        StartPage: 818
    Titles:
      – TitleFull: Weakly Supervised Sentiment-Specific Region Discovery for VSA.
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      – PersonEntity:
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            NameFull: Xue, Luoyang
      – PersonEntity:
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            NameFull: Xu, Ang
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            NameFull: Mao, Qirong
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            NameFull: Gao, Lijian
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            NameFull: Chen, Jie
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          Dates:
            – D: 01
              M: 04
              Text: Apr2022
              Type: published
              Y: 2022
          Identifiers:
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              Value: 65
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              Value: 4
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