has been cited by the following article(s):
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[1]
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Analysis of Public Sentiment Towards the 2025 Budget Efficiency Policy on Social Media X Using Naïve Bayes and Support Vector Machine
2025 Tenth International Conference on Informatics and Computing (ICIC),
2025
DOI:10.1109/ICIC68054.2025.11309575
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[2]
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Proceedings of the 2nd International Conference on Cognitive Based Information Processing and Applications (CIPA 2022)
Lecture Notes on Data Engineering and Communications Technologies,
2023
DOI:10.1007/978-981-19-9376-3_88
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[3]
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Exploring COVID-19 public perceptions in South Africa through sentiment analysis and topic modelling of Twitter posts
The African Journal of Information and Communication (AJIC),
2023
DOI:10.23962/ajic.i31.14834
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[4]
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Machine Learning Approaches to Assess Mood of the News Editorial
2022 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT),
2022
DOI:10.1109/CONECCT55679.2022.9865842
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[5]
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Predicting COVID-19 community infection relative risk with a Dynamic Bayesian Network
Frontiers in Public Health,
2022
DOI:10.3389/fpubh.2022.876691
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[6]
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Public Sentiment Assessment of Coronavirus-Specific Tweets using a Transformer-based BERT Classifier
2022 International Conference on Edge Computing and Applications (ICECAA),
2022
DOI:10.1109/ICECAA55415.2022.9936448
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