from gensim.models import word2vec. print ("Training model") model = word2vec.Word2Vec (sentences_clean, workers=num_workers, \. size=num_features, min_count = min_word_count, \. window = context, iter = 5) 2018-07-16 12:46:06,771 : INFO : collecting all words and their counts 2018-07-16 12:46:06,773 : INFO : PROGRESS: at sentence #0 ...
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