Machine learning
TextCNN
TextCNN是一种用于文本分类的卷积神经网络，由Yoon Kim于2014年提出。它通过在词嵌入上应用不同窗口大小的并行卷积滤波器来捕获局部n-gram模式。该方法在情感分析和主题分类方面快速且有效。
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来源
- Kim, Y. (2014). Convolutional Neural Networks for Sentence Classification. EMNLP. DOI: 10.3115/v1/D14-1181 ↗
- Zhang, Y. & Wallace, B. (2015). A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional Neural Networks for Sentence Classification. arXiv:1510.03820. link ↗
如何引用本页
ScholarGate. (2026, June 1). Convolutional Neural Network for Text Classification (TextCNN). ScholarGate. https://scholargate.app/zh/deep-learning/cnn-text-classification
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