word2vec: Get word embedding expression by word2vec
In teramonagi/scdv: SCDV : Sparse Composite Document Vectors using soft clustering over distributional representations

Get word embedding expression by word2vec

1	word2vec(doc, dimension, args = list())

`doc`	List of document. each document
`dimension`	The dimensions of word vector representations for every word
`args`	Parameters for wrod2vec model ( parameters of wordVectors::train_word2vec )

teramonagi/scdv documentation built on June 1, 2019, 3:58 a.m.

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