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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Odessa National Academy of Food Technologies
2023-09-01
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| Series: | Автоматизация технологических и бизнес-процессов |
| Subjects: | |
| Online Access: | https://journals.ontu.edu.ua/index.php/atbp/article/view/2621 |
| _version_ | 1797687311089008640 |
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| author | Eglė Kankevičiūtė Milita Songailaitė Bohdan Zhyhun Justina Mandravickaitė |
| author_facet | Eglė Kankevičiūtė Milita Songailaitė Bohdan Zhyhun Justina Mandravickaitė |
| author_sort | Eglė Kankevičiūtė |
| collection | DOAJ |
| description | 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 to be made anonymously, removing the possibility to comment under the articles, and some portals employ moderators who identify and eliminate hate speech. However, given the large number of comments, an appropriately large number of people are required to do this work. The rapid development of artificial intelligence in the language technology area may be the solution to this problem. Automated hate speech detection would allow to manage the ever-increasing amount of online content, therefore we report hate speech classification for Lithuanian language by application of deep learning. |
| first_indexed | 2024-03-12T01:16:24Z |
| format | Article |
| id | doaj.art-2ad672983c594826a0f9b483605b64ec |
| institution | Directory Open Access Journal |
| issn | 2312-3125 2312-931X |
| language | English |
| last_indexed | 2024-03-12T01:16:24Z |
| publishDate | 2023-09-01 |
| publisher | Odessa National Academy of Food Technologies |
| record_format | Article |
| series | Автоматизация технологических и бизнес-процессов |
| spelling | doaj.art-2ad672983c594826a0f9b483605b64ec2023-09-13T10:45:45ZengOdessa National Academy of Food TechnologiesАвтоматизация технологических и бизнес-процессов2312-31252312-931X2023-09-01153202910.15673/atbp.v15i3.26212621LITHUANIAN HATE SPEECH CLASSIFICATION USING DEEP LEARNING METHODSEglė Kankevičiūtė0Milita Songailaitė1Bohdan Zhyhun2Justina Mandravickaitė3Vytautas Magnus University, Kaunas, LithuaniaVytautas Magnus University, Kaunas, LithuaniaVytautas Magnus University, Kaunas, LithuaniaVytautas Magnus University, Kaunas, LithuaniaThe 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 to be made anonymously, removing the possibility to comment under the articles, and some portals employ moderators who identify and eliminate hate speech. However, given the large number of comments, an appropriately large number of people are required to do this work. The rapid development of artificial intelligence in the language technology area may be the solution to this problem. Automated hate speech detection would allow to manage the ever-increasing amount of online content, therefore we report hate speech classification for Lithuanian language by application of deep learning.https://journals.ontu.edu.ua/index.php/atbp/article/view/2621deep learning,transformers,hate speech,text classification |
| spellingShingle | Eglė Kankevičiūtė Milita Songailaitė Bohdan Zhyhun Justina Mandravickaitė LITHUANIAN HATE SPEECH CLASSIFICATION USING DEEP LEARNING METHODS Автоматизация технологических и бизнес-процессов deep learning, transformers, hate speech, text classification |
| title | LITHUANIAN HATE SPEECH CLASSIFICATION USING DEEP LEARNING METHODS |
| title_full | LITHUANIAN HATE SPEECH CLASSIFICATION USING DEEP LEARNING METHODS |
| title_fullStr | LITHUANIAN HATE SPEECH CLASSIFICATION USING DEEP LEARNING METHODS |
| title_full_unstemmed | LITHUANIAN HATE SPEECH CLASSIFICATION USING DEEP LEARNING METHODS |
| title_short | LITHUANIAN HATE SPEECH CLASSIFICATION USING DEEP LEARNING METHODS |
| title_sort | lithuanian hate speech classification using deep learning methods |
| topic | deep learning, transformers, hate speech, text classification |
| url | https://journals.ontu.edu.ua/index.php/atbp/article/view/2621 |
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