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February 10, 2018 22:21
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| vocab_file ="/path/to/vocab_file" | |
| vectors_file ="/path/to/vectors_file" | |
| embed = Embedding(vocab_file,vectors_file) | |
| cuisine_refs = ["mexican","chinese","french","british","american"] | |
| threshold = 0.2 | |
| text = "I want to find an indian restaurant" | |
| cuisines = find_similar_words(embed,cuisine_refs,text,threshold) | |
| print(cuisines) | |
| # >>> ['indian'] |
I was unable to replicate your result. I downloaded a vocab file with 10000 most common words and skipped words not in the GloVe file. For me, this script prints ['want', 'to', 'find', 'an', 'indian', 'restaurant']
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how do I get the files vocab_file and vectors_file?