CNN文本分類《Convolutional Neural Networks for Text Categorization: Shallow Word-level vs. Deep Charact》
原文鏈接 本文僅在axive上發表 摘要 在文本分類領域，主要都是基於CNN和LSTM來做的，但是LSTM的複雜度比CNN高得多，一旦進行長文本或大量文本的訓練，就會特別耗時，而CNN就要快得多。故本文在長文本分類領域對比了在字符級別和詞語級別的CNN模型分別的效果: Our earlier work (2015) [3, 4]: shallow word-level CNNs (taking s
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相關文章
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