A review of approaches for topic detection in Twitter.

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Title: A review of approaches for topic detection in Twitter.
Authors: Mottaghinia, Zeynab1, z.mottagy@gmail.com, Feizi-Derakhshi, Mohammad-Reza1, Farzinvash, Leili1, Salehpour, Pedram1
Source: Journal of Experimental & Theoretical Artificial Intelligence; Oct2021, Vol. 33 Issue 5, p747-773, 27p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 152788735
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/0952813X.2020.1785019
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 27
        StartPage: 747
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      – TitleFull: A review of approaches for topic detection in Twitter.
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            NameFull: Mottaghinia, Zeynab
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            NameFull: Feizi-Derakhshi, Mohammad-Reza
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            NameFull: Farzinvash, Leili
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            NameFull: Salehpour, Pedram
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            – D: 01
              M: 10
              Text: Oct2021
              Type: published
              Y: 2021
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              Value: 33
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              Value: 5
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            – TitleFull: Journal of Experimental & Theoretical Artificial Intelligence
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