Bert Transformer Text Similarity in Python

Sentence similarity involves determining how closely related two sentences are in meaning. It measures the similarity between two or more sentences using a similarity score. We often want to measure text similarity in various NLP tasks. Some of those tasks include information retrieval, text summarization, and question answering. One way of achieving that is by using a BERT Transformer model.