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38 lines
1.1 KiB
Python
38 lines
1.1 KiB
Python
# encoding: utf8
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from __future__ import unicode_literals, print_function
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from math import sqrt
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from numpy import dot
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from numpy.linalg import norm
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def handle_tweet(spacy, tweet_data, query):
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text = tweet_data.get('text', u'')
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# Twython returns either bytes or unicode, depending on tweet.
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# ಠ_ಠ #APIshaming
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try:
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match_tweet(spacy, text, query)
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except TypeError:
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match_tweet(spacy, text.decode('utf8'), query)
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def match_tweet(spacy, text, query):
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def get_vector(word):
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return spacy.vocab[word].repvec
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tweet = spacy(text)
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tweet = [w.repvec for w in tweet if w.is_alpha and w.lower_ != query]
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if tweet:
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accept = map(get_vector, 'child classroom teach'.split())
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reject = map(get_vector, 'mouth hands giveaway'.split())
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y = sum(max(cos(w1, w2), 0) for w1 in tweet for w2 in accept)
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n = sum(max(cos(w1, w2), 0) for w1 in tweet for w2 in reject)
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if (y / (y + n)) >= 0.5 or True:
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print(text)
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def cos(v1, v2):
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return dot(v1, v2) / (norm(v1) * norm(v2))
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