Multilabel Hate Speech Classification in Indonesian Political Discourse on X using Combined Deep Learning Models with Considering Sentence Length

Dublin Core

Title

Multilabel Hate Speech Classification in Indonesian Political Discourse on X using Combined Deep Learning Models with Considering Sentence Length

Subject

deep learning; classification task; hate speech detection; sentence length; social media.

Description

Hate speech, as public expression of hatred or offensive discourse targeting race, religion, gender, or sexual orientation, is widespread on social media.

Creator

Revelin Angger Saputra and Yuliant Sibaroni

Source

http://dx.doi.org/10.21609/jiki.v18i1.1440

Publisher

Faculty of Computer Science Universitas Indonesia

Date

2025-02-08

Contributor

Sri Wahyuni

Rights

e-ISSN : 2502-9274 printed ISSN : 2088-7051

Format

PDF

Language

English

Type

Text

Coverage

Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Information)

Files

Tags

,Repository, Repository Horizon University Indonesia, Repository Universitas Horizon Indonesia, Horizon.ac.id, Horizon University Indonesia, Universitas Horizon Indonesia, HorizonU, Repo Horizon , ,Repository, Repository Horizon University Indonesia, Repository Universitas Horizon Indonesia, Horizon.ac.id, Horizon University Indonesia, Universitas Horizon Indonesia, HorizonU, Repo Horizon ,

Citation

Revelin Angger Saputra and Yuliant Sibaroni, “Multilabel Hate Speech Classification in Indonesian Political Discourse on X using Combined Deep Learning Models with Considering Sentence Length,” Repository Horizon University Indonesia, accessed May 23, 2025, https://repository.horizon.ac.id/items/show/8948.