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Clustering and multidimensional evolution analysis of hot topics in online public opinion about energy corporations—a case study of Sina Weibo.

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Title: Clustering and multidimensional evolution analysis of hot topics in online public opinion about energy corporations—a case study of Sina Weibo.
Authors: Chun, Liu1,2, Mao, Haoran1,2, Wang, Jiakun3,4, shandongwjk@sdust.edu.cn, Shangguan, Jiaen5
Source: Cluster Computing; 2026, Vol. 29 Issue 5, p1-21, 21p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 194225054
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Clustering and multidimensional evolution analysis of hot topics in online public opinion about energy corporations—a case study of Sina Weibo.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=194225054
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    Identifiers:
      – Type: doi
        Value: 10.1007/s10586-026-06103-y
    Languages:
      – Code: eng
        Text: English
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        PageCount: 21
        StartPage: 1
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      – TitleFull: Clustering and multidimensional evolution analysis of hot topics in online public opinion about energy corporations—a case study of Sina Weibo.
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            NameFull: Chun, Liu
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            NameFull: Mao, Haoran
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            NameFull: Wang, Jiakun
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            NameFull: Shangguan, Jiaen
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            – D: 01
              M: 07
              Text: 2026
              Type: published
              Y: 2026
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              Value: 29
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              Value: 5
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            – TitleFull: Cluster Computing
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