# -*- coding: UTF-8 -*- # !/usr/bin/python # @time :2019/4/4 10:00 # @author :Mo # @function : from __future__ import print_function from utils.text_tools import txtRead, txtWrite from gensim.models.word2vec import LineSentence from gensim.models import Word2Vec import multiprocessing import logging import sys import os def train_word2vec_by_word(): logging.basicConfig(format='%(asctime)s: %(levelname)s: %(message)s') logging.root.setLevel(level=logging.INFO) logging.info("running") inp = "Y:/BaiduNetdiskDownload/cut_zhwiki_wiki_parse/cut_zhwiki_wiki_parse.txt" outp1 = "w2v_model_wiki.model" outp2 = "w2v_model_wiki_word.vec" model = Word2Vec(LineSentence(inp), size=300, window=5, min_count=5, workers=multiprocessing.cpu_count()) model.save(outp1) model.wv.save_word2vec_format(outp2, binary=False) def train_word2vec_by_char(): logging.basicConfig(format='%(asctime)s: %(levelname)s: %(message)s') logging.root.setLevel(level=logging.INFO) logging.info("running") inp = "Y:/BaiduNetdiskDownload/cut_zhwiki_wiki_parse/cut_zhwiki_wiki_parse_char.txt" outp1 = "w2v_model_wiki.model" outp2 = "w2v_model_wiki_char.vec" model = Word2Vec(LineSentence(inp), size=300, window=5, min_count=5, workers=multiprocessing.cpu_count()) model.save(outp1) model.wv.save_word2vec_format(outp2, binary=False) if __name__ == '__main__': train_word2vec_by_word() # train_word2vec_by_char() # inp = "Y:/BaiduNetdiskDownload/cut_zhwiki_wiki_parse/cut_zhwiki_wiki_parse.txt" # sentences_char = [] # sentences = txtRead(inp) # for sentences_one in sentences: # sentences_one_replace = sentences_one.strip().replace(" ", "") # sentences_one_replace_all = [] # for sentences_one_replace_one in sentences_one_replace: # sentences_one_replace_all.append(sentences_one_replace_one) # sentences_char.append(" ".join(sentences_one_replace_all) + "\n") # txtWrite(sentences_char, "Y:/BaiduNetdiskDownload/cut_zhwiki_wiki_parse/cut_zhwiki_wiki_parse_char.txt") # gg = 0