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Character-level Convolutional Network for Text Classification Applied to Chinese Corpus

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 نشر من قبل Weijie Huang
 تاريخ النشر 2016
  مجال البحث الهندسة المعلوماتية
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This article provides an interesting exploration of character-level convolutional neural network solving Chinese corpus text classification problem. We constructed a large-scale Chinese language dataset, and the result shows that character-level convolutional neural network works better on Chinese corpus than its corresponding pinyin format dataset. This is the first time that character-level convolutional neural network applied to text classification problem.



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