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Multi-input integrative learning using deep neural networks and transfer learning for cyberbullying detection in real-time code-mix data.

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Bibliographic Details
Title: Multi-input integrative learning using deep neural networks and transfer learning for cyberbullying detection in real-time code-mix data.
Authors: Kumar, Akshi1, akshikumar@dce.ac.in, Sachdeva, Nitin1
Source: Multimedia Systems; Dec2022, Vol. 28 Issue 6, p2027-2041, 15p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
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  Data: Multi-input integrative learning using deep neural networks and transfer learning for cyberbullying detection in real-time code-mix data.
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  Data: <searchLink fieldCode="JN" term="%22Multimedia+Systems%22">Multimedia Systems</searchLink>; Dec2022, Vol. 28 Issue 6, p2027-2041, 15p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=160349825
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      – Type: doi
        Value: 10.1007/s00530-020-00672-7
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      – Code: eng
        Text: English
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        PageCount: 15
        StartPage: 2027
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      – TitleFull: Multi-input integrative learning using deep neural networks and transfer learning for cyberbullying detection in real-time code-mix data.
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            NameFull: Kumar, Akshi
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              M: 12
              Text: Dec2022
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              Y: 2022
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