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Hybrid Ensemble of Large Language Models and Fractional Derivative Features for Domain-Specific Engineering Sentiment Analysis.

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Title: Hybrid Ensemble of Large Language Models and Fractional Derivative Features for Domain-Specific Engineering Sentiment Analysis.
Authors: Karim, Abdul1,2, Triandini, Evi2,3, Lee, Seoyeong1,2,3, Jeong, In cheol1,2,4, incheol.jeong@hallym.ac.kr
Source: Applied Sciences (2076-3417); May2026, Vol. 16 Issue 9, p4266, 37p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 193716608
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PubType: Academic Journal
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      – Type: doi
        Value: 10.3390/app16094266
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      – Code: eng
        Text: English
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        PageCount: 37
        StartPage: 4266
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      – TitleFull: Hybrid Ensemble of Large Language Models and Fractional Derivative Features for Domain-Specific Engineering Sentiment Analysis.
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            NameFull: Karim, Abdul
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            NameFull: Triandini, Evi
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            NameFull: Lee, Seoyeong
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              Text: May2026
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              Y: 2026
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              Value: 16
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              Value: 9
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