LITHUANIAN HATE SPEECH CLASSIFICATION USING DEEP LEARNING METHODS

LITHUANIAN HATE SPEECH CLASSIFICATION USING DEEP LEARNING METHODS

The ever-increasing amount of online content and the opportunity for everyone to express their opinions online leads to frequent encounters with social problems: bullying, insults, and hate speech. Some online portals are taking steps to stop this, such as no longer allowing user-generated comments...

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Bibliographic Details
Main Authors: Eglė Kankevičiūtė, Milita Songailaitė, Bohdan Zhyhun, Justina Mandravickaitė
Format: Article
Language:English
Published: Odessa National Academy of Food Technologies 2023-09-01
Series:Автоматизация технологических и бизнес-процессов
Subjects:
deep learning,
transformers,
hate speech,
text classification
Online Access:https://journals.ontu.edu.ua/index.php/atbp/article/view/2621

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