Effective Use of Word Order for Text Categorization with Convolutional Neural Networks
Effective Use of Word Order for Text Categorization with Convolutional Neural Networks 背景 CNN充分用于图像数据去探索图像的1D结构，本文作者将CNN用于文本数据，探索数据的1D结构（例如词序）。与利用低维数据作为输入不同，作者直接用CNN作用与高维的文本数据。这样做的好处在于可以学习出小的文本
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相关文章
- 1. Effective Use of Word Order for Text Categorization with Convolutional Neural Networks
- 2. CNN做文本分类《Effective Use of Word Order for Text Categorization with Convolutional Neural Networks》
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- 9. CNN文本分类《Convolutional Neural Networks for Text Categorization: Shallow Word-level vs. Deep Charact》
- 10. Deep Convolutional Neural Networks for Sentiment Analysis of Short Texts