Hate speech detection on Indonesian instagram comments using FastText approach

Nur Indah Pratiwi, Indra Budi, Ika Alfina

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)

Abstract

Instagram is one of social media hype, potentially used to spread hatred. The objective of our study is to conduct hate speech detection on Instagram comments for Indonesian language. We used FastText as the classifier and word representation. The experiment results showed that FastText is better than Random Forest Decision Tree and Logistic Regression. The highest result achieved when FastText is combined with bigram feature with F-measure of 65.7%.

Original languageEnglish
Title of host publication2018 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages447-450
Number of pages4
ISBN (Electronic)9781728101354
DOIs
Publication statusPublished - 17 Jan 2019
Event10th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2018 - Yogyakarta, Indonesia
Duration: 27 Oct 201828 Oct 2018

Publication series

Name2018 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2018

Conference

Conference10th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2018
Country/TerritoryIndonesia
CityYogyakarta
Period27/10/1828/10/18

Keywords

  • FastText
  • Hate speech detection
  • Instagram

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