How Wootric Uses NLP and ML to Make Sense of Hundreds of Thousands of Survey Feedback

Prabhat Jha | Wootric

ABOUT THE TALK

At Wootric, we collect and analyze hundreds of thousands of survey feedbacks on weekly basis for hundreds of our customers. This processing is both quantitative and qualitative. While quantitative is just number crunching, it's qualitative analysis that gives the most insights. We have started leveraging NLP and machine learning to turn these feedbacks into actionable insights. We will talk about our ML journey which consists of how we use simple algorithms like bag of words to state of the art LSTM and its variations.

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prabhat jha

CTO | Wootric

Prabhat is CTO at Wootric where he is building AI powered customer experience (CX) management platform. Previously, he co-founded InstaOps, a real time mobile APM platform which got acquired by Apigee now a part of Google. At Apigee he created several proprietary and open source API management solutions that developers love.

He built and managed teams for various projects related to Distributed Computing and Enterprise Software. Prabhat is also a pragmatic open source developer and proponent with likeness to evangelism. His specialties include PaaS, SaaS, Machine Learning, NLP, Mobile SDK, Big Data Analytics, Distributed Computing, Developer Experience, Open Source Software development.
Prabhat Jha

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