The amount of text data being generated in the world is staggering. Google processes more than 40,000 searches EVERY second! Analyzing patterns in that data can become daunting if you don’t have the right tools. And with so much data being generated, interacting with artificial intelligent systems seems a bit simulated at times. This is because the way we converse as humans with one another is completely different from what we usually do with AI systems. Thankfully, research has been rampant in the area to bridge the gap in conversational AI systems. In this workshop, we will cover a highly significant aspect of the Natural Language Processing (NLP) world-building a Text Classification model.

Key Takeaways:

• Learn to build an end-end text classification model
• Understand industry use cases of Text Classification
• Understand how humans interact with an AI system