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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
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dc.contributor.authorRosnelly, Rika-
dc.date.accessioned2023-05-09T10:38:36Z-
dc.date.available2023-05-09T10:38:36Z-
dc.date.issued2023-
dc.identifier.urihttp://repository.potensi-utama.ac.id/jspui/jspui/handle/123456789/5670-
dc.titleIdentification of Public Sentiment Towards Covid-19 Issues with Naïve Bayes Algorithm and Latent Semantic Indexing (LSI)en_US
dc.typeOtheren_US
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