Skip to content

Instantly share code, notes, and snippets.

@rajeshmr

rajeshmr/product-titles-classifiy-text-cnn.py Secret

Last active December 7, 2017 13:45
Show Gist options
  • Star 0 You must be signed in to star a gist
  • Fork 0 You must be signed in to fork a gist
  • Save rajeshmr/4a3c909cce7d87f23c82516be2837583 to your computer and use it in GitHub Desktop.
Save rajeshmr/4a3c909cce7d87f23c82516be2837583 to your computer and use it in GitHub Desktop.
Download ZIP
Raw
product-titles-classifiy-text-cnn.py
example_product = "Nikon Coolpix A10 Point and Shoot Camera (Black)"
example_product = preprocess(example_product)
example_sequence = tokenizer.texts_to_sequences([example_product])
example_padded_sequence = pad_sequences(example_sequence, maxlen=MAX_SEQUENCE_LENGTH)
print("-"*10)
print("Predicted category: ", category_reverse_index[model_1.predict_classes(example_padded_sequence, verbose=0)[0]])
print("-"*10)
probabilities = model_1.predict(example_padded_sequence, verbose=0)
probabilities = probabilities[0]
print("Clothing Probability: ",probabilities[category_index["clothing"]] )
print("Camera Probability: ",probabilities[category_index["camera"]] )
print("home appliances probability: ",probabilities[category_index["home-appliances"]] )
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment