Publikasi Ilmiah STMIK Banjarbaru
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Penerapan Text Mining Menggunakan Algoritme Naïve Bayes Dalam Mengklasifikasi Sentimen Netizen di media sosial Twitter (Studi Kasus Pertemuan KTT G20 di Indonesia)
The G20 is a forum that discusses global issues including Finance Track and Sherpa Track, this forum consists of developed and developing countries. The purpose of this research is to classify positive and negative tweets using the naive bayes method. The naive bayes method can predict future possib
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