Description I have implemented a Siamese Neural Network for text similarity. It takes two sentences as input and predicts the similarity between them. Here one input comes from the user and the other input is a entire dataset of documents in the data lake. It implements BERT embeddings for both the …

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 …