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--- |
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license: mit |
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datasets: |
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- silicone |
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--- |
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This `KeyedVectors` model is specifically for `silicone:dyda_da` |
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*you must download both the `.wordvectors` and `.wordvectors.npy` files |
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```python |
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from gensim.models.keyedvectors import KeyedVectors |
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kv=KeyedVectors.load("silicone-dyda_da-utterance-tokens.wordvectors") |
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print(model.wv.most_similar_cosmul('peter',topn=25)) |
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[('steven', 0.889095664024353), |
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('alice', 0.8783409595489502), |
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('li', 0.8624751567840576), |
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('benjamin', 0.8622595071792603), |
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('mrs', 0.8615201711654663), |
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('lin', 0.8603521585464478), |
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('david', 0.8597986698150635), |
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('dr', 0.8588740825653076), |
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('wang', 0.8527941107749939), |
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('mary', 0.8522424697875977), |
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('mike', 0.8521847724914551), |
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('john', 0.8494851589202881), |
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('michael', 0.84917151927948), |
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('linda', 0.8488836288452148), |
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('lucy', 0.8375136256217957), |
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('jane', 0.8359535336494446), |
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('monica', 0.834464430809021), |
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('smith', 0.8331072926521301), |
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('susan', 0.8329276442527771), |
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('zhang', 0.8323286771774292), |
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('professor', 0.8316935896873474), |
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('ellen', 0.8311569094657898), |
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('daniel', 0.8285720944404602), |
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('charles', 0.8285550475120544), |
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('james', 0.8280013203620911)] |
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``` |
