Natural Language Processing 101 - Dialogflow Chatbot

Dive into the fundamentals of natural language processing (NLP) in this comprehensive tutorial video. Explore key NLP components including entities, relations, concepts, and semantic roles, and discover enterprise applications of this technology. Learn why NLP is challenging, understand the Turing Test and its criticisms, and compare rule-based and statistical approaches. Gain practical skills by building a simple FAQ chatbot using Dialogflow, covering topics such as creating intents, working with entities, utilizing prebuilt agents, and implementing slot filling. Led by Chris Shei, technical evangelist at Jet.com and Data Science Dojo alumnus, this tutorial offers valuable insights into NLP and chatbot development for both beginners and intermediate learners.

Intro
Why NLP is Difficult
The Turing Test
Criticisms
Rulebased vs Statistical
Encoding Words
Word Math
Resources
What is Dialogflow
Creating an Intent
Creating a Second Intent
Entities
Prebuilt Agents
Slot Filling
Idea Followup
Intent Followup
Action Parameters
Fulfillment