fixing relative filepath search of doc2vec model in naive approach
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@ -43,7 +43,8 @@ def stemming(message):
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# * compare words to emoji descriptions
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def evaluate_sentence(sentence, description_key = 'description', lang = 'eng', emojis_to_consider="all", stem=True):
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# assumes there is a trained w2v model stored in the same directory!
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wv = KeyedVectors.load("word2vec.model", mmap='r')
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__location__ = os.path.realpath(os.path.join(os.getcwd(), os.path.dirname(__file__)))
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wv = KeyedVectors.load(str(__location__)+"/word2vec.model", mmap='r')
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if (stem):
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sentence = stemming(sentence)
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