CNN文本分类《Convolutional Neural Networks for Text Categorization: Shallow Word-level vs. Deep Charact》
原文链接 本文仅在axive上发表 摘要 在文本分类领域，主要都是基于CNN和LSTM来做的，但是LSTM的复杂度比CNN高得多，一旦进行长文本或大量文本的训练，就会特别耗时，而CNN就要快得多。故本文在长文本分类领域对比了在字符级别和词语级别的CNN模型分别的效果: Our earlier work (2015) [3, 4]: shallow word-level CNNs (taking s
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