Syntax Literate : Jurnal Ilmiah Indonesia
Jurnal Ilmiah Indonesia

Detecting Hate Speech In Twitter Using Long Short-Term Memory and Naïve Bayes Method

Firman Sriyono (AMIKOM University Yogyakarta, Indonesia)
Kusrini Kusrini (AMIKOM University Yogyakarta, Indonesia)
Asro Nasiri (AMIKOM University Yogyakarta, Indonesia)

Article Info

Publish Date
20 Feb 2022

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

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Journal Info
Syntax Literate : Jurnal Ilmiah Indonesia
Website

Abbrev

syntax-literate

Publisher

Syntax Corporation Indonesia

Subject

Humanities Education Environmental Science Law, Crime, Criminology & Criminal Justice

Description

Pandemi Covid-19 ini menyebabkan terjadinya pencurian di berbagai daerah di Indonesia. Banyak pencuri melakukan tindakan mencuri karena kekurangan uang untuk memenuhi kebutuhan hidupnya akibat pandemi Covid-19. Hal tersebut membuat aparat harus memberikan sanksi kepada pencuri. Permasalahan dalam ...