Multi-Label Classification of Indonesian Online Toxicity using BERT and RoBERTa-Reference-Cited by-同舟云学术

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Multi-Label Classification of Indonesian Online Toxicity using BERT and RoBERTa

Published:2023-07-13 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT)
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Author:

Sagama Yoga¹,Alamsyah Andry¹

Affiliation:

1. Telkom University,School of Economics and Business,Bandung,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10205370/10205373/10205892.pdf?arnumber=10205892

Reference45 articles.

1. Exploring Transformers in Natural Language Generation: GPT, BERT, and XLNet;topal,2021

2. Multi-label Classifier Performance Evaluation with Confusion Matrix

3. Text Mining in Big Data Analytics

4. Dynamics of Online Toxicity in the Asia-Pacific Region

5. Attention Is All You Need;vaswani,2017

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Comparison of Multiclass Classification and Topic Modeling to Identify Technology Acceptance in Popular E-Commerce in Indonesia Based on UTAUT3 Model;2024 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT);2024-07-04

2. Measuring CBDC and DeFi Public Discourse Using BERT and RoBERTa;2024 International Conference on Smart Computing, IoT and Machine Learning (SIML);2024-06-06

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