Analyzing Twitter Users’ Sentiments on the Surge of Fuel Oil Prices in Indonesia using the K-Nearest...
Analyzing Twitter Users’ Sentiments on the Surge of Fuel Oil Prices in Indonesia using the K-Nearest Neighbor Algorithm
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Les Ulis: EDP Sciences
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Language
English
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Les Ulis: EDP Sciences
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Sentiment analysis offers an effective solution for automating the classification of text data based on polarity, facilitating the assessment of public opinion. Among various social media platforms, Twitter stands out as a significant source of concise textual data reflecting users’ viewpoints on diverse topics. Notably, the recent surge in the pri...
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Analyzing Twitter Users’ Sentiments on the Surge of Fuel Oil Prices in Indonesia using the K-Nearest Neighbor Algorithm
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TN_cdi_doaj_primary_oai_doaj_org_article_02f395ce4860428b8eaf9c94be44a7b4
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_02f395ce4860428b8eaf9c94be44a7b4
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ISSN
2267-1242,2555-0403
E-ISSN
2267-1242
DOI
10.1051/e3sconf/202448202004
