word2vec: to train word2vec model

In mukul13/rword2vec: R Interface to Google's Word2vec

Description

to train text data

Usage

word2vec(layer1_size = 0, train_file = 0, save_vocab_file = 0,
  read_vocab_file = 0, debug_mode = 0, binary = 1, cbow = 0,
  alpha = 0, output_file = 0, window = 0, sample = 0, hs = 0,
  negative = 0, iter = 0, min_count = 0, classes = 0,num_threads=2)

Arguments

layer1_size	feature size
train_file	training text data
save_vocab_file	file name to save vocab data
read_vocab_file	file name to read vocab
debug_mode	debug mode
binary	output file format
cbow	training method used
alpha	alpha
output_file	output file name (MUST be binary)
window	window
sample	sample size
hs	hs
negative	negative
iter	iter
min_count	minimum count
num_threads	number of threads
classes	classes

Examples

## Not run: 
model=word2vec(train_file = "text8",output_file = "vec.bin",binary=1)

## End(Not run)

mukul13/rword2vec documentation built on May 23, 2019, 8:22 a.m.