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Stream ETL framework for twitter-based sentiment analysis: Leveraging big data technologies.

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Title: Stream ETL framework for twitter-based sentiment analysis: Leveraging big data technologies.
Authors: Ismail, Azlan1,2, azlanismail@uitm.edu.my, Sazali, Faris Haziq1, 2021118083@student.uitm.edu.my, Agos Jawaddi, Siti Nuraishah1, 2021388277@student.uitm.edu.my, Mutalib, Sofianita1, sofianita@uitm.edu.my
Source: Expert Systems with Applications; Feb2025, Vol. 261, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 181196770
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=181196770
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      – Type: doi
        Value: 10.1016/j.eswa.2024.125523
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      – Code: eng
        Text: English
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      – TitleFull: Stream ETL framework for twitter-based sentiment analysis: Leveraging big data technologies.
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            NameFull: Ismail, Azlan
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            NameFull: Sazali, Faris Haziq
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              Text: Feb2025
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              Y: 2025
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              Value: 261
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