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一个混合变压器和基于注意力的循环神经网络,用于对推特的强大和可解释的情绪分析

Md Abrar Jahin1,2, Md Sakib Hossain Shovon3,2, M F Mridha4,5

  • 1Department of Industrial Engineering and Management, Khulna University of Engineering & Technology (KUET), Khulna, 9203, Bangladesh.

Scientific reports
|October 22, 2024
PubMed
概括

新的变压器和基于注意力的双向LSTM用于情感分析 (TRABSA) 模型在情感分析中达到94%的准确性. 这种先进的模型增强了公众论分析和流行病应对系统.

关键词:
基于注意力的BiLSTM在LIME的时间里.罗伯塔变压器 变压器这就是 SHAP SHAP 的意思.推特情绪分析分析没有监督的标签在XAI,XAI就是XAI.

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