BERT-based ensemble learning for multi-aspect hate speech detection
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BERT has produced outstanding results on natural language understanding tasks, and in numerous studies it outperformed conventional machine learning algorithms and demonstrated promising results in cyberbullying detection.
“On a variety of natural language understanding tasks, Bidirectional Encoder Representation from Transformers (BERT) has produced outstanding results. In numerous studies, BERT outperformed conventional machine learning algorithms, achieved cutting-edge performance, and demonstrated promising results in the detection of cyberbullying.”
From A Review on Deep-Learning-Based Cyberbullying Detection (2023) · cites this paper as [58]
Studies show BERT achieved high accuracy and F1 scores to classify cyberbullying in various types of online content, such as tweets and comments.
“Studies [22,58-60] show that BERT achieved high accuracy and F1 scores to classify cyberbullying in various types of online content, such as tweets and comments.”
From A Review on Deep-Learning-Based Cyberbullying Detection (2023) · cites this paper as [58]
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- Authors
- Mazari, A. C., Boudoukhani, N., & Djeffal, A.
- Affiliations
- University Yahia Fares of Medea (DZ)
- Université Djilali de Sidi Bel Abbès (DZ)
- University of Biskra (DZ)
- Corresponding author
- Mazari, Ahmed Cherif
- Venue
- Cluster Computing
- Published
- 2023-01-03
- Volume
- 27
- Issue
- 1
- Pages
- 325-339
- ISSN
- 1386-7857 (ISSN-L)
- 1573-7543
- OpenAlex
- W4313531555
- Cited by
- 89
- References
- 44
- Citations by year
- 2026: 23 · 2025: 29 · 2024: 25 · 2023: 12
- FWCI
- 8.39
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Cluster Computing (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Hate Speech and Cyberbullying Detection
- Physical Sciences › Computer Science › Artificial Intelligence › Sentiment Analysis and Opinion Mining
- Physical Sciences › Computer Science › Artificial Intelligence › Text and Document Classification Technologies
- Keywords
- multi-label text classification, BERT, ensemble learning, BiLSTM, BiGRU, GloVe embeddings, FastText embeddings, toxic language, social media toxicity, cyberbullying
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