In this blog post we cover the process, requirements, and the design of an evaluation framework for NLP and Information Extraction. We cover the reasoning behind such a framework, and discuss its implementation with examples from a Named Entity Recognition evaluation point of view.

This code story describes a collaboration with ZenCity around detecting trending topics at scale. We discuss the datasets, data preparation, models used and the deployment story for this scenario.

A scalable unsupervised approach for driver safety estimation on Pointer Telocation's dataset