Simple Text Multi Classification Task Using Keras BERT

This article was published as a part of the Data Science Blogathon.

Introduction

BERT is a really powerful language representation model that has been a big milestone in the field of NLP. It has greatly increased our capacity to do transfer learning in NLP. It comes with great promise to solve a wide variety of NLP tasks. Definitely you will gain great knowledge by the end of this article, keep reading. I am sure you will get good hands-on experience with the BERT application.  Before deep-diving into actual code, let’s understand BERT. 

 

What is BERT?

BERT is a model that knows to represent text. You give it some sequence as an input, it then looks left and right several times and produces a vector representation for each word as the output. At the end of 2018 researchers at Google AI Language open-sourced a new technique for Natural Language Processing (NLP) called BERT (Bidirectional Encoder Representations from Transformers). A major

 

 

 

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