Sentiment Analysis of Floods on Twitter Social Media Using the Naive Bayes Classifier Method with the N-Gram Feature

Research article (2022 International Conference on Data Science and Its Applications (ICoDSA), 2022) · cited 14× · AI/ML
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Sentiment Analysis of Floods on Twitter Social Media Using the Naive Bayes Classifier Method with the N-Gram Feature

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Sentiment Analysis of Floods on Twitter Social Media Using the Naive Bayes Classifier Method with the N-Gram Feature is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Sentiment Analysis of Floods on Twitter Social Media Using the Naive Bayes Classifier Method with the N-Gram Feature. Retrieved May 24, 2026, from https://4ort.xyz/entity/sentiment-analysis-of-floods-on-twitter-social-media-using-the-naive-bayes-classifier-method-with-the-n-gram-feature
MLA “Sentiment Analysis of Floods on Twitter Social Media Using the Naive Bayes Classifier Method with the N-Gram Feature.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/sentiment-analysis-of-floods-on-twitter-social-media-using-the-naive-bayes-classifier-method-with-the-n-gram-feature.
BibTeX @misc{4ortxyz_sentiment-analysis-of-floods-on-twitter-social-media-using-the-naive-bayes-classifier-method-with-the-n-gram-feature_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Sentiment Analysis of Floods on Twitter Social Media Using the Naive Bayes Classifier Method with the N-Gram Feature}}, year = {2026}, url = {https://4ort.xyz/entity/sentiment-analysis-of-floods-on-twitter-social-media-using-the-naive-bayes-classifier-method-with-the-n-gram-feature}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Sentiment Analysis of Floods on Twitter Social Media Using the Naive Bayes Classifier Method with the N-Gram Feature — https://4ort.xyz/entity/sentiment-analysis-of-floods-on-twitter-social-media-using-the-naive-bayes-classifier-method-with-the-n-gram-feature (retrieved 2026-05-24)

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