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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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Bibliografische gegevens
Hoofdauteurs: Abdelweheb Gueddes, Mohamed Ali Mahjoub
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Taylor & Francis Group 2026-01-01
Reeks:Journal of Information and Telecommunication
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Online toegang:https://www.tandfonline.com/doi/10.1080/24751839.2025.2528363
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