Aspect-Based Sentiment Analysis on Amazon Product Reviews Using a Novel Hybrid Machine Learning Algorithm.

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Title: Aspect-Based Sentiment Analysis on Amazon Product Reviews Using a Novel Hybrid Machine Learning Algorithm.
Authors: Scott, Timothy Louis1 timothylouisscott@sd.taylors.edu.my, Goh, Wei Wei1 Weiwei.goh@taylors.edu.my, Khan, Navid Ali1 Navidali.khan@taylors.edu.my
Source: Journal of Universal Computer Science (JUCS). 2025, Vol. 31 Issue 11, p1147-1174. 28p.
Database: Mathematics Source
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  Data: Aspect-Based Sentiment Analysis on Amazon Product Reviews Using a Novel Hybrid Machine Learning Algorithm.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Universal+Computer+Science+%28JUCS%29%22">Journal of Universal Computer Science (JUCS)</searchLink>. 2025, Vol. 31 Issue 11, p1147-1174. 28p.
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.3897/jucs.146032
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      – Code: eng
        Text: English
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        PageCount: 28
        StartPage: 1147
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      – TitleFull: Aspect-Based Sentiment Analysis on Amazon Product Reviews Using a Novel Hybrid Machine Learning Algorithm.
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            NameFull: Scott, Timothy Louis
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            NameFull: Goh, Wei Wei
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            NameFull: Khan, Navid Ali
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            – D: 01
              M: 11
              Text: 2025
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              Y: 2025
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              Value: 31
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              Value: 11
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