Painless Explainability for NLP/Text Models with LIME and ELI5

understanding individual contributions of words is useful when working with NLP Classification Models

Introduction

Explainability of machine learning models is a hot topic right now — particularly in deep learning where models are that bit harder to reason about and understand. These models are often called ‘black boxes’ because you put something in, you get something out and you don’t really know how that outcome was achieved. The ability to explain…