Over the past few months I have been collecting the best resources on NLP and how to apply NLP and Deep Learning to Chatbots. Every once in awhile, I would run across an exception piece of content…
https://chatbotslife.com/ultimate-guide-to-leveraging-nlp-machine-learning-for-you-chatbot-531ff2dd870c
* The Code and data for this tutorial is on Github.
* Smart Reply
* paper
* github
* paper
* tokenized
* stemmed
* lemmatized
* NLTK tool
* Check out the Jupyter notebook to see the data analysis
* Smart Reply uses clustering techniques to come up with a set of possible responses
* tf-idf
* scikit-learn
* seq2seq model
* reported
* paper
* embedded
* GloVe
* numpy
* pandas
* Tensorflow
* TF Learn
* dataset
* Example
* prepare_data.py
* download the data files here
* udc_inputs.py
* functools.partial
* udc_train.py
* hparams.py
* create_model_fn
* dual_encoder.py
* udc_train.py
* udc_predict.py
* The Code and data for this tutorial is on Github, so check it out.
* http://blog.dennybritz.com/
* http://www.wildml.com/
* https://www.linkedin.com/in/markwclark
* Smart Notes Bot
* Stefan’s Bot
* contact me