what is workers parameter in word2vec in NLP
workers = use this many worker threads to train the model (=faster training with multicore machines).
If your system is having 2 cores, and if you specify workers=2, then data will be trained in two parallel ways.
By default , worker = 1 i.e,  no parallelization
in below code .
i didn't understand the meaning of workers parameter .
model = Word2Vec(sentences, size=300000, window=2, min_count=5, workers=4)