Jurnal Teknologi Informasi dan Pendidikan
Vol 12 No 2 (2019): Jurnal Teknologi Informasi dan Pendidikan

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

Iin Ernawati (UPN "Veteran" Jakarta)

Article Info

Publish Date
10 Dec 2019

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.

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Journal Info
Jurnal Teknologi Informasi dan Pendidikan
Website

Abbrev

tip

Publisher

Universitas Negeri Padang

Subject

Computer Science & IT Control & Systems Engineering Education Engineering

Description

Jurnal Teknologi Informasi dan Pendidikan (JTIP) is a scientific journal managed by Universitas Negeri Padang and in collaboration with APTEKINDO, born from 2008. JTIP publishes scientific research articles that discuss all fields of computer science and all related to computers. JTIP is published ...