code for "how to get the similarity you need" from https://speakerdeck.com/tmylk/wordrank-pydata-5-min-talk

get_similiarity_you_need.py

# just run this in the end of 01_pride_and_predjudice.ipynb from https://github.com/cytora/pycon-nlp-in-10-lines
processed_sentences = [sent.lemma_.split() for sent in processed_text.sents]
interchangeable_words_model = Word2Vec(
    sentences=processed_sentences,
    workers=multiprocessing.cpu_count() - 1, # use your cores
    window=2, sg=1)
    
attributes_of_model = Word2Vec(
    sentences=processed_sentences,
    workers=multiprocessing.cpu_count() - 1, # use your cores
    window=50, sg=1)
    
attributes_of_model.most_similar(u'darcy')