Analyzing Training Data to Minimize NLP Performance

Written By Barend Jungerius

During this Facebook live session, Benoit Alvarez will tell us why automation is vital for training and maintaining large data sets in order to get the most out of Natural Language Processing (NLP). Make sure to tune in and ask questions!

Benoit is the CTO of Volume.ai, an AI agency specializing in three pillars of Experiential AI:

  • VR/AR

  • Robots

  • Big Brain Chatbots

Together with his team Benoit started building Qbox a couple of years ago: a platform that analyzes and benchmarks your chatbot training data by visualizing and understanding where it does and doesn’t perform. With these insides it's possible to measure the performance of the NLP engine (native or external) you're using.

Barend Jungerius
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