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Sentiment Analysis on Twitter Social Media Application on Fuel Oil Price Hike Using Naïve Bayes and Decision Tree Algorithms.

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Title: Sentiment Analysis on Twitter Social Media Application on Fuel Oil Price Hike Using Naïve Bayes and Decision Tree Algorithms.
Authors: Fadli, Muhammad1, mfadli2020@student.unas.ac.id, Triayudi, Agung1, agungtriayudi@civitas.unac.ac.id, Eshti Handayani, Endah Tri1, endahtriesti@civitas.unas.ac.id
Source: SaNa: Journal of Blockchain, NFTs & Metaverse Technology; Aug2024, Vol. 2 Issue 2, p114-122, 9p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 179866920
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PubType: Academic Journal
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=179866920
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.58905/sana.v2i2.271
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      – Code: eng
        Text: English
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        PageCount: 9
        StartPage: 114
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      – TitleFull: Sentiment Analysis on Twitter Social Media Application on Fuel Oil Price Hike Using Naïve Bayes and Decision Tree Algorithms.
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            NameFull: Fadli, Muhammad
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            NameFull: Triayudi, Agung
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            – D: 01
              M: 08
              Text: Aug2024
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              Y: 2024
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              Value: 2
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            – TitleFull: SaNa: Journal of Blockchain, NFTs & Metaverse Technology
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