Tutorial on Text Classification (NLP) using ULMFiT and fastai Library in Python
Introduction
Natural Language Processing (NLP) needs no introduction in today’s world. It’s one of the most important fields of study and research, and has seen a phenomenal rise in interest in the last decade. The basics of NLP are widely known and easy to grasp. But things start to get tricky when the text data becomes huge and unstructured.
That’s where deep learning becomes so pivotal. Yes, I’m talking about deep learning for NLP tasks – a still relatively less trodden path. DL has proven its usefulness in computer vision tasks like image detection, classification and segmentation, but NLP applications like text generation and classification have long been considered fit for traditional ML techniques.
Source: Tryolabs
And deep learning has certainly made a very positive impact in NLP, as you’ll see in this article. We will focus on the concept of transfer learning and how we can leverage it in