Objective
Build a NLP model which can extract out the important keywords (related to a particular domain) from documents.
Description
In this project i have trained a custom Named Entity Recognition Model, which takes input of strings (max size 40) and predicts the Named Entities from the text. It used ELMo (Embeddings from Language Models) , bi directional LSTM and a time distributed dense layer.
Technology Stack
Python, Keras, Tensorflow, LSTM
Github Link
Click Here to see the code. This is not the full code, but just a module representation