NAIVE BAYES CLASSIFIER DAN SUPPORT VECTOR MACHINE SEBAGAI ALTERNATIF SOLUSI UNTUK TEXT MINING

  • Iin Ernawati UPN "Veteran" Jakarta
Keywords: Probabilitas, Support Vector Machine, Naive Bayes Classifier

Abstract

This study was conducted to text-based data mining or often called text mining, classification methods commonly used method Naïve bayes classifier (NBC) and support vector machine (SVM). This classification is emphasized for Indonesian language documents, while the relationship between documents is measured by the probability that can be proven with other classification algorithms. This evident from the conclusion that the probability result Naïve Bayes Classifier (NBC) word “party” at least in the economic document and political. Then the result of the algorithm support vector machine (svm) with the word “price” and “kpk” contains in both economic and politic document.

 

References

Andini, S 2013, Klasifikasi dokumen teks menggunakan algoritma naïve bayes dengan bahasa pemrograman java, Jurnal Teknologi Informasi & Pendidikan, vol.6, no.2, September 2012, hlm 140-147.

Darujati, C 2010, Perbandingan klasifikasi dokumen teks menggunakan metode naïve bayes dengan k-nearest, Jurnal Link, vol.13, no.1, Januari 2010, hlm 2-1-2-9.

Darujati, C & Bimo, A 2012, Pemanfaatan teknik supervised untuk klasifikasi teks bahasa indonesia, Jurnal Link, vol.16, no.1, Februari 2012, hlm 1-8.

Hamzah, A 2012, Klasifikasi Teks Dengan Naïve Bayes Classifier (NBC) Untuk Pengelompokan Teks Berita Dan Abstract Akademis, Prosiding Seminar Aplikasi Sains & Teknologi (snast) Periode III, 3 November 2012, hlm. B-269-B-277.

Imam Kurniawan & Ajib Susanto, 2019, Implementasi Metode K-Means dan Naïve Bayes Classifier untuk Analisis Sentimen Pemilihan Presiden (Pilpres) 2019, Jurnal Eksplora Informatika, Vol. 9 No.1, 2019.

Samodra, J, Sumpeno, S & Hariadi, M,2009, Klasifikasi dokumen teks berbahasa Indonesia dengan menggunakan naïve bayes, Seminar Nasional Electrical, Informatic, And Its Education, hlm. B-1-71-B-1-74.

Hermawati, FA 2013, Data mining, Andi,Yogyakarta.

Kusrini & Luthfi, ET 2009, Algoritma data mining, Andi, Yogyakarta.

Prasetyo, E 2012, Data Mining Konsep Dan Aplikasi Menggunakan Matlab, Andi, Yogyakarta.

Jiawei Han, Kamber, Pei, Data Mining Concepts and Techniques, 3rd Edition, Elsevier Inc, 2012

Published
2019-12-10
How to Cite
[1]
I. Ernawati, “NAIVE BAYES CLASSIFIER DAN SUPPORT VECTOR MACHINE SEBAGAI ALTERNATIF SOLUSI UNTUK TEXT MINING”, JTIP, vol. 12, no. 2, pp. 33-39, Dec. 2019.
Abstract viewed = 915 times
PDF downloaded = 574 times