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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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Published in:Language Resources & Evaluation Vol. 59; no. 3; pp. 2297 - 2328
Main Authors: Hazrati, Leila, Sokhandan, Alireza, Farzinvash, Leili
Format: Article
Published: Springer Nature Sep2025
Subjects:
Social networks
Transformer models
Classification
Sentiment analysis
Natural language processing
Clustering algorithms
Online Access:View this record in EBSCOhost