Conversational AI (Chatbots) and NLP using Javascript

Conversational Artificial Intelligence, NLP (Natural Language Processing) and Chatbots using Node.js and 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
• Compose your own tokenizer and utilize existing tokenizers from Natural and NLPjs
• Compose NLU classifiers in javascript using Brain, Tensorflow, NLPjs Neural, Microsoft LUIS
• Construct your own Perceptron in javascript without any preparation and your own NLU Classifier, so you will have a profound 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 assembled (Brain, Tensorflow, NLPjs neural, Microsoft LUIS and your own classifier), measure the precision and contrast and 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 Backing
• Named Entity Recognition: enum entities, normal expressions, builtins using Microsoft Recognizers and Duckling (remove emails, URLs, dates, numbers...)

Valuable NLP Algorithms: utterance generation from patterns, N-Grams, Language Prediction, Predictive Text, Levenshtein distance, get best comparable substring, emoticon replacement

Step by step instructions to construct your own chatbot, benchmark it, do it multi-language, distribute into console, add a web for talking with the chatbot

Description

Learn NLP techniques using Node.js and Javascript, to understand how to fabricate a Conversational Artificial Intelligence.

You'll learn what is Natural Language Understanding, how to assemble classifiers using different technologies and how to quantify them.

Likewise Named Entity Recognition, to remove entities from the sentences of the client to complement this NLU.

Natural Language Generation, to generate accurately the answers of the Conversational AI, and how to have answers in light of context factors to give a contextualized experience to the clients.

Likewise some util algorithms, similar to N-grams, and how to involve them for genuine issues like guessing the language of a sentence or predicting the next expression of a sentence.

Finally we will fabricate a chatbot, multi-language in english and spanish, ready to figure the language from the sentence, and using this Conversational AI techniques that we have learn during the course, and finally we will connect this chatbot to a web exposing a Programming interface.

Who this course is for:

• Javascript and Node developers that wants to assemble chatbots or use NLP
• Javascript developers that want to understand Conversational Artificial Intelligence
• Javascript developer curious about how machines understand human language

Requirements

Have the option to code javascript