Real time knowledge extraction from unstructured big data streams

This project connects with the topsector ‘Hightech Systems & Materials and ICT’. Specifically this project aims at ICT and its role in improving productivity in the topsector ‘Agri and Food’. The main goal of the project is to develop an application for the structuring of unstructured data such as Whatsapp and text messages or tweets to use these as a new source for machine learning. Twittercounter and Connecterra will develop this application with the help of their partners in a unique consortium...The application will consist of two main parts: (1) Real-time big data processing pipeline, plus continuous machine learning model training and (2) Data modelling for deep learning, plus tuning machine learning algorithm to train the machine. The end result of the project will be the prototype