CNN做文本分类《Effective Use of Word Order for Text Categorization with Convolutional Neural Networks》
原文链接 本文发表于自然语言处理领域顶级会议 NAACL 2015 摘要 本文将CNN用于文本分类任务，没有像传统方法那样采用低维词向量作为输入，而是采用高维，还提出了一种在卷积中使用的词袋转换的变体，为了提高准确率，还探索了将多个卷积层结合的方法，实验表明效果不错。 模型 1.bow-CNN for text 假设我们有一个词库 V={我，他，它，爱，你} V = { 我 ， 他 ， 它 ， 爱
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