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| model_skipgram = gensim.models.Word2Vec(data, min_count = 1, size = 100, window = 5, sg = 1) | |
| similar_words_skipgram = {search_term: [item for item in model_skipgram.wv.most_similar | |
| ([search_term], topn=300)] | |
| for search_term in ['comorbidity']} | |
| similar_words_skipgram |
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