(1) Introduction

Others 2020-10-03 18:23:35 views: null

1 Introduction

Word2vec is an open source toolkit for acquiring word vectors launched by Google in 2013, including a set of models for word embedding.

The Word2vec model is usually obtained by using shallow (two-layer) neural network training word vectors, taking a large-scale corpus as input, and then generating a vector space (usually a few hundred dimensions). Each word in the dictionary corresponds to a unique vector in the vector space, and words with a common context in the corpus are mapped closer to the vector space.

reference

Blog: Word2Vec-knowing it knows why

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Origin blog.csdn.net/m0_38111466/article/details/107745532

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