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
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.
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