将glove预训练词向量转为word2vector形式

import os
# 用于转换并加载glove预训练词向量
from gensim.test.utils import datapath, get_tmpfile
from gensim.models import KeyedVectors
# 将glove转换为word2vec
from gensim.scripts.glove2word2vec import glove2word2vec
path=os.getcwd()
glove_file=datapath(os.path.join(path, "glove.840B.300d.txt"))
tmp_file=get_tmpfile(os.path.join(path,"word2vec.txt"))
glove2word2vec(glove_file, tmp_file)

执行完以上代码后，就在本地生成word2vector形式的预训练词向量。执行以上代码的前提是你下载了glove.840B.300d.txt

下面是加载转换后的预训练词向量

# 需要先将glove转为vector才能用
wvmodel = gensim.models.KeyedVectors.load_word2vec_format('word2vec.txt',binary=False, encoding='utf-8')