Lokasi: ANALISIS SENTIMEN TERHADAP KASUS VAKSIN COVID-19 MENGGUNAKAN METODE NAÏVE BAYES BERDASARKAN TWITTER

Main Author:	Maharani, Ulfa Nur Fajri - 205411147
Format:	Thesis NonPeerReviewed Book
Bahasa:	ind
Terbitan:	, 2022
Subjects:	Analisis Sistem Kecerdasan Buatan (Artificial Intelegence)
Online Access:	https://eprints.utdi.ac.id/9615/1/1_205411147_HALAMAN_DEPAN.pdf https://eprints.utdi.ac.id/9615/2/2_205411147_BAB_1%20-%20ulfa%20nurfajri.pdf https://eprints.utdi.ac.id/9615/3/3_205411147_BAB_II%20-%20ulfa%20nurfajri.pdf https://eprints.utdi.ac.id/9615/4/4_205411147_BAB_III%20-%20ulfa%20nurfajri.pdf https://eprints.utdi.ac.id/9615/5/5_205411147_BAB_IV%20-%20ulfa%20nurfajri.pdf https://eprints.utdi.ac.id/9615/6/6_205411147_BAB_V%20-%20ulfa%20nurfajri.pdf https://eprints.utdi.ac.id/9615/7/7_205411147_DAFTAR_PUSTAKA%20-%20ulfa%20nurfajri.pdf https://eprints.utdi.ac.id/9615/9/8_205411147_CARA_MENJALANKAN_PROGRAM%20-%20ulfa%20nurfajri%281%29.pdf https://eprints.utdi.ac.id/9615/10/9_205411147_LISTING_PROGRAM%20-%20ulfa%20nurfajri.pdf https://eprints.utdi.ac.id/9615/11/10_205411147_LAMPIRAN%20-%20ulfa%20nurfajri.pdf https://eprints.utdi.ac.id/9615/

Koleksi	Digital Library STMIK AKAKOM Yogyakarta
Gedung	Perpustakaan STMIK AKAKOM Yogyakarta
Institusi	STMIK AKAKOM Yogyakarta
Kota	BANTUL
Provinsi	DAERAH ISTIMEWA YOGYAKARTA
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