Sentiment analysis method based on CNN and attention mechanism

Yao, Lisha; Zhao, Junhao; Su, Kang; Shao, Qingtong

doi:10.1117/12.2642631

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2024

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“…Guangjun Liu [12] et al proposed a bidirectional GRU-based sentiment analysis algorithm model, which optimizes and improves algorithms by integrating features of sentiment analysis. Yao Lisha [13] et al introduced a deep learning model, the CNN + ATT model, by combining convolutional neural network (CNN) models with attention mechanisms. Mamoona Humayun [14] et al proposed an analysis using class labels to address multi-class problems by combining class labels with similar overall sentiments.…”

Section: Related Workmentioning

confidence: 99%