Text Sentiment Orientation Analysis Based on Multi-Channel CNN and Bidirectional GRU With Attention Mechanism

• Published in: IEEE access Vol. 8; pp. 134964 - 134975
• Main Authors: Cheng, Yan, Yao, Leibo, Xiang, Guoxiong, Zhang, Guanghe, Tang, Tianwei, Zhong, Linhui
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Artificial neural networks; attention mechanism; bidirectional gated recurrent unit network; Context modeling; Convolutional neural network; Data mining; Datasets; Feature extraction; Machine learning; Neural networks; Recurrent neural networks; Semantics; Sentiment analysis; Task analysis; text sentiment orientation analysis; Words (language)

Convolutional Neural Network(CNN) and Recurrent Neural Network(RNN) have been widely used in the field of text sentiment analysis and have achieved good results. However, there is an anteroposterior dependency between texts, although CNN can extract local information between consecutive words of a s...