BERT-OntoSent: combining BERT language model with sentiment ontology for enhanced sentiment analysis on social media
Sentiment analysis on social media is vital but challenged by language complexity and context dependency. Existing methods often fall short. This paper presents BERT-OntoSent, a hybrid approach synergizing BERT's contextual power with ontology-based structured knowledge. We provide a detailed m...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-07-01
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| Series: | Journal of Information and Telecommunication |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/24751839.2025.2528363 |
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