Perfecting a Video Game with Game Metrics
Vol 18, No 2: April 2020

Hoax classification and sentiment analysis of Indonesian news using Naive Bayes optimization

Heru Agus Santoso (Dian Nuswantoro University)
Eko Hari Rachmawanto (Dian Nuswantoro University)
Adhitya Nugraha (Dian Nuswantoro University)
Akbar Aji Nugroho (Dian Nuswantoro University)
De Rosal Ignatius Moses Setiadi (Dian Nuswantoro University)
Ruri Suko Basuki (Dian Nuswantoro University)



Article Info

Publish Date
01 Apr 2020

Abstract

Currently, the spread of hoax news has increased significantly, especially on social media networks. Hoax news is very dangerous and can provoke readers. So, this requires special handling. This research proposed a hoax news detection system using searching, snippet and cosine similarity methods to classify hoax news. This method is proposed because the searching method does not require training data, so it is practical to use and always up to date. In addition, one of the drawbacks of the existing approaches is they are not equipped with a sentiment analysis feature. In our system, sentiment analysis is carried out after hoax news is detected. The goal is to extract the true hidden sentiment inside hoax whether positive sentiment or negative sentiment. In the process of sentiment analysis, the Naïve Bayes (NB) method was used which was optimized using the Particle Swarm Optimization (PSO) method. Based on the results of experiment on 30 hoax news samples that are widely spread on social media networks, the average of hoax news detection reaches 77% of accuracy, where each news is correctly identified as a hoax in the range between 66% and 91% of accuracy. In addition, the proposed sentiment analysis method proved to has a better performance than the previous analysis sentiment method.

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Journal Info

Abbrev

TELKOMNIKA

Publisher

Subject

Computer Science & IT

Description

Submitted papers are evaluated by anonymous referees by single blind peer review for contribution, originality, relevance, and presentation. The Editor shall inform you of the results of the review as soon as possible, hopefully in 10 weeks. Please notice that because of the great number of ...