Comparison of Deep Learning Methods in Detecting Hate Speech in Indonesian Tweets-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Comparison of Deep Learning Methods in Detecting Hate Speech in Indonesian Tweets

Published:2023-10-24 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 8th International Conference on Sustainable Information Engineering and Technology
language:
Short-container-title:

Author:

Brata Dwija Wisnu¹^ORCID,Djunaidy Arif²^ORCID,Siahaan Daniel Oranova³^ORCID

Affiliation:

1. Department of Informatics, Institut Teknologi Sepuluh Nopember, Indonesia and Department of Information System, Brawijaya University, Indonesia

2. Department of Information System, Institut Teknologi Sepuluh Nopember, Indonesia

3. Department of Informatics, Institut teknologi Sepuluh Nopember, Indonesia

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3626641.3626925

Reference18 articles.

1. Two-Way Feature Extraction Using Sequential and Multimodal Approach for Hateful Meme Classification

2. GT-Finder: Classify the family of glucose transporters with pre-trained BERT language models

3. Hate Speech Text Classification Using Long Short-Term Memory (LSTM)

4. Asti , A.D. 2021 . Multi-label Classification for Hate Speech and Abusive Language in Indonesian-Local Languages. 2021 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2021 (2021). Asti, A.D. 2021. Multi-label Classification for Hate Speech and Abusive Language in Indonesian-Local Languages. 2021 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2021 (2021).

5. Enriching Word Vectors with Subword Information

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP