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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Autors principals:	Abdelweheb Gueddes, Mohamed Ali Mahjoub
Format:	Artigo
Idioma:	Inglês
Publicat:	Taylor & Francis Group 2026-01-01
Col·lecció:	Journal of Information and Telecommunication
Matèries:	Sentiment analysis BERT ontology hybrid approach social media
Accés en línia:	https://www.tandfonline.com/doi/10.1080/24751839.2025.2528363
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