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基于典型相关分析的词向量 - seaboat的专栏——a free boat on the sea. - CSDN博客
source link: http://blog.csdn.net/wangyangzhizhou/article/details/79009096?
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本文首发于雷锋网前言在NLP领域中，为了能表示人类的语言符号，一般会把这些符号转成一种数学向量形式以方便处理，我们把语言单词嵌入到向量空间中就叫词嵌入（word embedding）。比如有比较流行的谷歌开源的 word2vec ，它能生成词向量，通过该词向量在一定程度上还可以用来度量词与词之间的相似性。word2vec采用的模型包含了连续词袋模型（CBOW）和Skip-Gram模
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