Natural Language Processing engines enable tons of use cases. ML6 has identified four major use cases, being self-learning chatbots, content customization, entity extraction and reason-based sentiment analysis.

ML6 has a very solid and extensive Natural Language Processing ecosystem given its wide set of use cases for a wide set of industries. Our ecosystem has an intent classification -, named-entity-recognition – and sentiment analysis module. By fine-tuning the top layer on this platform, ML6 can build a self-learning engine which feeds your chatbot, supports your fully-customizable digital customer experience platform or helps you in identifying the “why” and “how” of your customers.