ANALISA SENTIMEN PADA TINJAUAN BUKU DENGAN ALGORITMA K-NEAREST NEIGHBOUR
Abstract
Analisa sentimen pada tinjauan buku dapat digunakan untuk pengklasifikasian dokumen tinjauan sehingga pembagian sentimen positif dan negatif dapat dilakukan secara sistemis. Penggunaan metode k-nearest neighbor dan digabungkan dengan metode pembobotan istilah dan penghitungan tingkat kemiripan memberikan hasil yang cukup baik pada penelitian yang telah dilakukan.
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Kata Kunci: analisa sentimen, similarity, k nearest neighbor, term frequency
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References
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