A Comparison of Text Classification Methods k-NN, Naïve Bayes, and Support Vector Machine for News Classification
<p>In this era, a rapid thriving Internet occasionally complicates users to retrieve news category furthermore if there are plentiful of news to be categorized. News categorization is a technique can be used to retrieve a category of news which gives easiness for users. Internet has vast amoun...
Main Authors: | Fanny Fanny, Yohan Muliono, Fidelson Tanzil |
---|---|
Format: | Article |
Language: | English |
Published: |
Politeknik Harapan Bersama Tegal
2018-05-01
|
Series: | Jurnal Informatika: Jurnal Pengembangan IT |
Online Access: | http://ejournal.poltektegal.ac.id/index.php/informatika/article/view/828 |
Similar Items
-
Improving multi-class text classification with Naive Bayes
by: Rennie, Jason D. M. (Jason Daniel Malyutin), 1976-
Published: (2014) -
Illiteracy Classification Using K Means-Naïve Bayes Algorithm
by: Muhammad Firman Aji Saputra, et al.
Published: (2018-05-01) -
A Chinese text classification system based on Naive Bayes algorithm
by: Cui Wei
Published: (2016-01-01) -
A STUDY OF MULTILABEL TEXT CLASSIFICATION ALGORITHMS USING NAIVE-BAYES
by: DAVID STEINBRUCH
Published: (2006) -
TEXT CLASSIFICATION BASED ON SUPPORT VECTOR MACHINE
by: Lê Thị Minh Nguyện
Published: (2019-06-01)