Perhaps you successfully created a small prototype chatbot, but when trying to productize it, realized it was confused about some of your test questions.
Perhaps you released a chatbot live and your customer satisfaction isn’t as great as you hoped because your chatbot struggles to understand your users.
And the challenge with NLP training data is that when we humans look at it, it seems to make sense.
So how do we improve something that seems good? The trick is to look at the training data the way your NLP provider (not a human) looks at it.
QBox analyzes and benchmarks your chatbot training data by visualizing and understanding where it does and doesn’t perform, and why (for your chosen NLP provider).
With this insight, you can then make informed decisions about how you develop the performance of your chatbot.