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Improving irony speech spreaders profiling on social networks using clustering & transformer based models.

As hidden information discovery is fundamental in AI research, natural language researchers have become interested in extracting meaningful information from social networks. One source of such hidden information is irony in text, which has grown significantly on these platforms. Since social media a...

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Publicado en:Language Resources & Evaluation Vol. 59; no. 3; pp. 2297 - 2328
Autores principales: Hazrati, Leila, Sokhandan, Alireza, Farzinvash, Leili
Formato: Artículo
Publicado: Springer Nature Sep2025
Materias:
Social networks
Transformer models
Classification
Sentiment analysis
Natural language processing
Clustering algorithms
Acceso en línea:Ver este registro en EBSCOhost