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Predicting Stock Prices in LQ45 Index in Indonesia Stock Exchange Using News Sentiment Analysis and Random Forest Algorithm

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Τίτλος: Predicting Stock Prices in LQ45 Index in Indonesia Stock Exchange Using News Sentiment Analysis and Random Forest Algorithm
Συγγραφείς: Nathaniel, Hakim, Muhammad Saiful, Prihananto, Prahardika
Πηγή: 2025 IEEE Technology & Engineering Management Conference - Asia Pacific (TEMSCON-ASPAC) Technology & Engineering Management Conference - Asia Pacific (TEMSCON-ASPAC), 2025 IEEE. :1-4 Sep, 2025
Relation: 2025 IEEE Technology & Engineering Management Conference - Asia Pacific (TEMSCON-ASPAC)
Βάση Δεδομένων: IEEE Xplore Digital Library
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DbLabel: IEEE Xplore Digital Library
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PubType: Conference
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  Data: Predicting Stock Prices in LQ45 Index in Indonesia Stock Exchange Using News Sentiment Analysis and Random Forest Algorithm
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1109/TEMSCON-ASPAC65329.2025.11512152
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        PageCount: 4
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      – TitleFull: Predicting Stock Prices in LQ45 Index in Indonesia Stock Exchange Using News Sentiment Analysis and Random Forest Algorithm
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            NameFull: Nathaniel
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            NameFull: Hakim, Muhammad Saiful
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            NameFull: Prihananto, Prahardika
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              M: 09
              Type: published
              Y: 2025
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            – TitleFull: 2025 IEEE Technology & Engineering Management Conference - Asia Pacific (TEMSCON-ASPAC), Technology & Engineering Management Conference - Asia Pacific (TEMSCON-ASPAC), 2025 IEEE
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