How to Train GloVe algorithm on my own corpus

Question

I tried to follow this.
But some how I wasted a lot of time ending up with nothing useful.
I just want to train a GloVe model on my own corpus (~900Mb corpu

Answer 1

You can do it using GloVe library:

Install it: pip install glove_python

Then:

from glove import Corpus, Glove

#Creating a corpus object
corpus = Corpus() 

#Training the corpus to generate the co occurence matrix which is used in GloVe
corpus.fit(lines, window=10)

glove = Glove(no_components=5, learning_rate=0.05) 
glove.fit(corpus.matrix, epochs=30, no_threads=4, verbose=True)
glove.add_dictionary(corpus.dictionary)
glove.save('glove.model')

Reference: word vectorization using glove