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Twitter Social Media-Based Sentiment Analysis Using Bi-LSTM Method With Genetic Algorithms Optimization

Advances in information technology, particularly social media platforms such as Twitter, can be used to explore public sentiment around the much-discussed 2024 Indonesian Presidential Election. Using sentiment analysis as part of text mining, we focus on distinguishing positive and negative polarity...

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主要な著者: Girindra Syukran Prahasto, Erwin Budi Setiawan
フォーマット: Artigo
言語:Inglês
出版事項: Muhammadiyah University Press 2025-07-01
シリーズ:Khazanah Informatika
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オンライン・アクセス:https://journals2.ums.ac.id/khif/article/view/3959
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