Chapter 4. Build NLP pipeline for building chatbots

Our project has expanded once again based on the good work that we've been doing.  We started off working for a restaurant chain to help them classify handwritten digits for a text notification system to alert their waiting guests that their table was ready.  Based on this success and when the owners realized that their customers were actually responding to the texts, we were asked to contribute a deep learning solution using natural language processing to accurately classify text into a meaningful sentiment category that would give the owners an indication as to the satisfaction with the dining experience.

Note

Do you know what happens to Deep Learning Engineers that do good work?   They get asked to do more! :)

This project for next business use case is pretty cool. What we’re being asked to do is to create a natural language pipeline that would power a chatbot for open domain question answering.  The (hypothetical) restaurant chain has...