A novel text sentiment analysis system using improved depthwise separable convolution neural networks

Human behavior is greatly affected by emotions. Human behavior can be predicted by classifying emotions. Therefore, mining people’s emotional tendencies from text is of great significance for predicting the behavior of target groups and making decisions. The good use of emotion classification techno...

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Veröffentlicht in:	PeerJ. Computer science Jg. 9; S. e1236
Hauptverfasser:	Kong, Xiaoyu, Zhang, Ke
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States PeerJ. Ltd 15.02.2023 PeerJ, Inc PeerJ Inc
Schlagworte:	Accuracy Algorithms Artificial neural networks Bioinformatics Classification College students Complexity Convolution neural network Data mining Data Mining and Machine Learning Deep learning Depthwise separable convolution Dictionaries Economic development Emotion analysis system Emotions Feature extraction Human acts Human behavior Human-Computer Interaction Internet Machine learning Neural Networks Sentiment Analysis Technology application Technology utilization Text information Words (language) Emotion analysis system Depthwise separable convolution Convolution neural network Text information
ISSN:	2376-5992, 2376-5992
Online-Zugang:	Volltext
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