【论文笔记】文本分类(text classification)论文整理
Distributed Representations of Sentences and Documents 这篇文章借鉴了word2vec的方法来训练长文本向量，如句子，段落，文档。首先随机初始化文本向量和文本中词的词向量，利用skip-gram和CBOW模型（在文中称为PV_DM和PV_DBOW模型）一起训练词向量和文本向量。 论文链接：https://cs.stanford.edu/~quo
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相关文章
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