Tags: word2vec* + python*

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  1. from gensim.scripts.glove2word2vec import glove2word2vec
    glove2word2vec(glove_input_file=file, word2vec_output_file="gensim_glove_vectors.txt")
    from gensim.models.keyedvectors import KeyedVectors
    model = KeyedVectors.load_word2vec_format("gensim_glove_vectors.txt", binary=False)
    2019-02-11 Tags: , , , , by klotz
  2. I used a Python t-SNE library to reduce the 200 feature dimensions for each word to 2 dimensions and plotted them in matplotlib. I saved out the x/y coordinates for each word in the book, so that I can show those words on the graph as you mouse over the replaced (blue) words.

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