Offensive-Language Detection on Multi-Semantic Fusion Based on Data Augmentation
The rapid identification of offensive language in social media is of great significance for preventing viral spread and reducing the spread of malicious information, such as cyberbullying and content related to self-harm. In existing research, the public datasets of offensive language are small; the...
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| Main Authors: | , , , , , |
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| Format: | Artigo |
| Language: | Inglês |
| Published: |
MDPI AG
2022-01-01
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| Series: | Applied System Innovation |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2571-5577/5/1/9 |
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