@inproceedings{9639bbfef0b240f49932ed618d957e59,
title = "Deep Learning-Based Implementation of Hate Speech Identification on Texts in Indonesian: Preliminary Study",
abstract = "This paper presents an implementation of hate speech identification task for text data written in Indonesian language. There are some studies purposed for similar problem, but all of them use classical machine learning approach, whose heavily depends on the feature engineering. Switching the domain of data set means that the feature engineering should be redone. To address this issue, this preliminary research proposes another method based on deep learning approach which needs no feature engineering and is also adaptive to the varying context. Using data sets sourced from Twitter posts, the proposed method gives better result of 94.5% F1-score at a minimum.",
keywords = "abusive, deep learning, hate speech, machine learning, word embedding",
author = "Erryan Sazany and Indra Budi",
note = "Funding Information: The authors acknowledge the PITTA research grant 1882/ UN2.R3.1/ HKP.05.00/ 2018 from Directorate Research and Community Services, Universitas Indonesia. Publisher Copyright: {\textcopyright} 2018 IEEE.; 1st International Conference on Applied Information Technology and Innovation, ICAITI 2018 ; Conference date: 04-09-2018 Through 05-09-2018",
year = "2019",
month = apr,
day = "10",
doi = "10.1109/ICAITI.2018.8686725",
language = "English",
series = "Proceedings of ICAITI 2018 - 1st International Conference on Applied Information Technology and Innovation: Toward A New Paradigm for the Design of Assistive Technology in Smart Home Care",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "114--117",
editor = "Yance Sonatha and Rahmat Hidayat and Alde Alanda and MT Humaira and Indri Rahmayuni",
booktitle = "Proceedings of ICAITI 2018 - 1st International Conference on Applied Information Technology and Innovation",
address = "United States",
}