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All Journal Jurnal Sarjana Teknik Informatika Jurnal Ilmiah Kursor TEKNOLOGI INFORMASI Sistemasi: Jurnal Sistem Informasi SMARTICS Journal Jurnal TAM (Technology Acceptance Model) INOVTEK Polbeng - Seri Informatika MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Teknologi Terapan J-Dinamika: Jurnal Pengabdian Kepada Masyarakat EDUMATIC: Jurnal Pendidikan Informatika MULTINETICS Jurnal Pengabdian Polinema Kepada Masyarakat Buguh: Jurnal Pengabdian Kepada Masyarakat Jurnal Pengabdian pada Masyarakat Ilmu Pengetahuan dan Teknologi Terintegrasi Paradigma Jurnal ELTEK Jurnal Teknik Ilmu dan Aplikasi Jurnal Informatika Polinema (JIP) Jurnal TAM (Technology Acceptance Model) Jurnal Komtika (Komputasi dan Informatika)
Imam Fahrur Rozi
Politeknik Negeri Malang
Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mechanical Engineering Social Sciences

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Journal : Paradigma

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Support Vector Machine with FastText Word Embedding for Hate Speech Aspect Categorization Mardiana, Aida Milati; Rozi, Imam Fahrur; Arianto, Rudy
Paradigma - Jurnal Komputer dan Informatika Vol. 27 No. 2 (2025): September 2025 Period
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/p.v27i2.5127

Abstract

Freedom of expression on Twitter often leads to issues such as hate speech, which may include provocation, incitement, or insults based on race, religion, gender, and other aspects. To address this issue, machine learning techniques can be applied to automatically classify hate speech. Therefore, this study aims to implement a machine learning–based approach for automatic hate speech aspect classification and to evaluate the accuracy of the obtained results. Support Vector Machine is used as the classifier method, with FastText as the word embedding method in the categorization process of hate speech aspects. The categorized aspects include abusive, individual, group, religion, race, physical, gender and other. The dataset used in this research is a collection of Indonesian tweets from Kaggle, which have been classified into each aspect. This study also tested combinations of preprocessing methods, namely filtering with stemming and the FastText pre-trained model. From the test results of the application of the Support Vector Machine method with FastText word embedding, with parameters C value = 1.0, gamma = 1.0 and RBF kernel and the ratio between training data and testing data is 90:10, the best results were obtained accuracy 98%, precision 98%, recall 98% and F1-Score 97% on Physical and Gender aspects. In addition, this study also tested if it did not use fasttext word embedding and the accuracy results showed 84%, precision 74%, recall 86% and F1 Score 79% in the abbusive aspect.
Co-Authors Abdul Muhsyi Agung Nugroho Ahmad Adil Faruqi Al Huda, Muhammad Iqbaluddin Ali Rahman Wibisana, Hafid Amalia, Astrifidha Rahma Ananta, Ahmadi Yuli Angga Aditya Indra Wiratmaka Anggraini, Serly Anita Ivianti Annisa Taufika Firdausi Annisa Taufika Firdausi Arief Prasetyo Atiqah Nurul Asri Batubulan, Kadek Suarjuna Budiarti, Arry Budiarti, Mahanani Nur Bulan, Novita Putri Dianti, Amelia Dika Rizky Yunianto Dimas Firman AL-Hafiidh Donavan, Khasadika Dwi Puspitasari Ekojono Ekojono Ekojono, Ekojono Elok Nur Hamdana Endah Septa Sintiya Erfan Rohadi Fahmy Ainun Nazilla Faisal Rahutomo Faishal Rahutomo Faruqi, Ahmad Adil Gaghana, Geo Alfriza Hapsari, Ratih Indri Haris Setiyono Ika Kusumaning Putri Indra Wiratmaka, Angga Aditya Iqbal Alfahmi, Muhammad Balya Irawan, Ferry Buyung Bakhtiar Irvan Wahyu Nurdian Islamiyah, Khalimatul Ivianti, Anita Khalimatul Islamiyah Khansa, M. Roid Billy Khasadika Donavan Mahanani Nur Budiarti Mamluatul Hani’ah Mardiana, Aida Milati Maulidia, Irma Millenia Rusbandi Mochamad Panggih Nirwanto Mufidah, Nursita Al Muhammad Afif Hendrawan Muhammad Alfahmi Nazilla, Fahmy Ainun Nirwanto, Mochamad Panggih Novia Puspitasari Nugraeni, Arin Kistia Nur Khozin Nurdian, Irvan Wahyu Nursita Al Mufidah Nurudin Santoso Odhitya Desta Odhitya Desta Triswidrananta Odhitya Desta Triswidrananta Pangestu Nur Mirzha Pramana Yoga Saputra Pramudhita, Agung Nugroho Rahmad, Cahya Rahmadhany, Tahta Reza Rahman, Muhammad Arif Rakhmat Arianto Ridwan Rismanto Rokhman, Syaiful Rosa Andrie Asmara Rudy Arianto, Rudy Rudy Ariyanto Rusbandi, Millenia Santoso, Nurudin Saputra, Zainal Ulu Prima Sholiha, Afifah Syaiful Rokhman Tahta Reza Rahmadhany Taufika Firdausi, Annisa Thalia Amira Rifda Usman Nurhasan Vipkas Al Hadid Firdaus Vivi Nur Wijayaningrum Vivin Ayu Lestari Wibowo, Rahmat Catur Widito, Sasmojo Wijanarko, Eko Setio Yan Watequlis Syaifudin Yogi Kurniawan Yuri Ariyanto Yushintia Pramitarini Zakaria, Arief Syukron Zanuar Hanif Rachmat Adi