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  2. KORESPONDENSI RIKA ROSNELLY
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Please use this identifier to cite or link to this item: http://repository.potensi-utama.ac.id/jspui/jspui/handle/123456789/5670
Title: Identification of Public Sentiment Towards Covid-19 Issues with Naïve Bayes Algorithm and Latent Semantic Indexing (LSI)
Authors: Rosnelly, Rika
Issue Date: 2023
URI: http://repository.potensi-utama.ac.id/jspui/jspui/handle/123456789/5670
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