Conversational AI (Chatbots) and NLP using Javascript

What you'll learn :

Understand the concepts of NLP, NLU, NLG, NER and how they are applied
Understand Artificial Intelligence writing regresions in javascript using Brain and Tensorflow
Write your own tokenizer and use existing tokenizers from Natural and NLPjs
Write NLU classifiers in javascript using Brain, Tensorflow, NLPjs Neural, Microsoft LUIS
Build your own Perceptron in javascript from scratch and your own NLU Classifier, so you will have a deep understand of what is under the hood
Measure the precision of the different NLPs using a custom corpus and SIGDIAL22
Understand what is stemming, apply stemmers to the classifiers that you built (Brain, Tensorflow, NLPjs neural, Microsoft LUIS and your own classifier), measure the precision and compare with non-stemmed versions
Understand Measures in Machine Learning: Confusion Matrix, Accuracy, Precision, Recall, F1-Score
Different KPIs for NLU: Machine Learning Measures, Confidence, Clarity, TPS, Language Support
Named Entity Recognition: enum entities, regular expressions, builtins using Microsoft Recognizers and Duckling (extract emails, URLs, dates, numbers…)
Useful NLP Algorithms: utterance generation from patterns, N-Grams, Language Prediction, Predictive Text, Levenshtein distance, get best similar substring, emoji replacement
How to build your own chatbot, benchmark it, do it multi-language, publish into console, add a web for talking with the chatbot