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 method...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Taylor & Francis Group
2026-01-01
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| Colecção: | Journal of Information and Telecommunication |
| Assuntos: | |
| Acesso em linha: | https://www.tandfonline.com/doi/10.1080/24751839.2025.2528363 |
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