scdv: Calculate Sparse Composite Document Vector (SCDV)

In teramonagi/scdv: SCDV : Sparse Composite Document Vectors using soft clustering over distributional representations

Description

Calculate Sparse Composite Document Vector (SCDV)

Usage

scdv(doc, k, dimension, p = 0.01, word2vec_args = list(),
  gmm_args = list())

Arguments

doc	List of document. each document
k	The number of clusters
dimension	The dimensions of word vector representations for every word
p	The sparsity threshold for SCDV
word2vec_args	Parameters for wrod2vec model ( parameters of wordVectors::train_word2vec )
gmm_args	Parameters for GMM model ( parameters of ClusterR::center_scale and ClusterR::GMM )

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