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用回声状态网络和增强水循环算法进行情绪分析

Lili Zhang1, Abbas Habibi2,3

  • 1School of Computer Science and Technology, Xi'an University of Posts and Telecommunications, Xi'an, 710121, Shaanxi, China.

Scientific reports
|August 27, 2025
PubMed
概括

这项研究引入了一个优化的回声状态网络 (ESN) 与增强水循环算法 (AWCA) 进行高度准确的情绪分析. 该模型在IMDb电影评论中获得了超过96%的准确性,在分类文本情绪方面表现出卓越的表现.

关键词:
增强水循环算法 (AWCA)反响状态网络 (ESN)世界情绪分析在 Word2Vec

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