15 lines
450 B
Python
15 lines
450 B
Python
import gensim.downloader
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import numpy as np
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class Word2Vec():
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def __init__(self) -> None:
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pass
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def load(self):
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self.model = gensim.downloader.load('word2vec-google-news-300')
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def sentence2vec(self, sentence):
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return np.mean([self.model[word] if word in self.model else np.zeros(300) for word in sentence])
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def list_of_sentences2vec(self, sentences):
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return [self.sentence2vec(x) for x in sentences] |