Article Per Year (5 Year)
p-Index From 2019 - 2024
0.23
P-Index
This Author published in this journals
All Journal Syntax Literate : Jurnal Ilmiah Indonesia
Asro Nasiri
AMIKOM University Yogyakarta, Indonesia
Humanities Education Environmental Science Law, Crime, Criminology & Criminal Justice

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Detecting Hate Speech In Twitter Using Long Short-Term Memory and Naïve Bayes Method Firman Sriyono; Kusrini Kusrini; Asro Nasiri
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : CV. Ridwan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (109.082 KB) | DOI: 10.36418/syntax-literate.v7i2.6313

Abstract

The information technologi’s development has been very sophisticated and easy, so that it becomes a lifestyle for people throughout the world without exception Indonesia which also affected by the development of this technology. One of the benefits of information technology is the emergence various kinds of social networking sites or social media such as Facebook, Twitter and Instagram. Technological developments isn’t only have a positive impact, but also have a negative impact the crime of insult or hate speech. This study is aims to classify Indonesian hate speech sentences based on hate speech and neutral sentiments using the Long Short-Term Memory (LSTM) method. Research data is obtained from Indonesian-language tweets. In testing process, the LSTM method will be compared with the Naïve Bayes method
Co-Authors Firman Sriyono Kusrini Kusrini