Convert glove pre-trained word vector to word2vector form

1  import os
 2  # used to convert and load glove pre-trained word vector 
3  from gensim.test.utils import datapath, get_tmpfile
 4  from gensim.models import KeyedVectors
 5  # convert glove to word2vec 
6  from gensim.scripts.glove2word2vec import glove2word2vec
 7 path = os.getcwd ()
 8 glove_file = datapath (os.path.join (path, " glove.840B.300d.txt " ))
 9 tmp_file = get_tmpfile (os.path.join (path, " word2vec.txt "))
10 glove2word2vec(glove_file, tmp_file)

After the above code is executed, a pre-trained word vector in the form of word2vector is generated locally. The premise of executing the above code is that you downloaded glove.840B.300d.txt

The following is the loaded pre-trained word vector

1  # need to first glove converted to vector by 
2 wvmodel = gensim.models.KeyedVectors.load_word2vec_format ( ' word2vec.txt ' , binary = False, encoding = ' UTF-. 8 ' )