santeldm
quadrismegistus
/ gensim_word2vec_make_semantic_network.py
Last active
June 7, 2020 15:14
Code to make a network out of the shortest N cosine-distances (or, equivalently, the strongest N associations) between a set of words in a gensim word2vec model.
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| """ | |
| Code to make a network out of the shortest N cosine-distances (or, equivalently, the strongest N associations) | |
| between a set of words in a gensim word2vec model. | |
| To use: | |
| Set the filenames for the word2vec model. | |
| Set `my_words` to be a list of your own choosing. | |
| Set `num_top_dists` to be a number or a factor of the length of `my_words.` | |
| Choose between the two methods below to produce distances, and comment-out the other one. | |
| """ |