has been cited by the following article(s):
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[1]
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Universal Threats in Expert Applications and Solutions
Lecture Notes in Networks and Systems,
2026
DOI:10.1007/978-981-96-7289-9_12
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[2]
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Political sentiment detection in Arabic texts using neutrosophic CatBoost and multilevel feature engineering
Neural Computing and Applications,
2025
DOI:10.1007/s00521-025-11680-x
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[3]
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Sentiment Analysis of Tokopedia Customer Reviews Using BiLSTM and IndoBERT with Comparative Analysis of Preprocessing and Labeling Methods
International Journal of Advances in Data and Information Systems,
2025
DOI:10.59395/ijadis.v6i3.1458
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[4]
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IndoBERT for Multi-Class Sentiment Classification of Student Aspirations: The Role of Stopword Removal and Stemming
2025 International Seminar on Application for Technology of Information and Communication (iSemantic),
2025
DOI:10.1109/ISemantic67418.2025.11292452
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[5]
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Exploring Community Awareness of Mangrove Ecosystem Preservation through Sentence-BERT and K-Means Clustering
Information,
2024
DOI:10.3390/info15030165
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[6]
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Text Mining in Educational Research
2024
DOI:10.1007/978-981-97-7858-4_8
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[7]
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An Expert System to Detect Political Arabic Articles Orientation Using CatBoost Classifier Boosted by Multi-Level Features
Computer Systems Science and Engineering,
2024
DOI:10.32604/csse.2024.054615
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