Unsupervised AI for language understanding

Intent extraction is one of the most useful processes in order to build a Language Understanding Model.
Email and VOC analytics, chatbots, information extraction tasks all rely on a powerful way of modelling intents and topics in conversations or documents.
Those conversations and documents are so dynamic nowadays because of the amount of information that is created everyday and companies encounter a huge problem when trying to build an efficient model in order to analyze those texts.
The setup processes associated are usually very long and when they work they get outdated very fast. In this talk we present how to use unsupervised AI, to extract meaningful information from big amounts of texts.

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