What is the BERT Algorithm?

What is the BERT Algorithm?

BERT — Bidirectional Encoder Representations from Transformers — is a neural network-based technique that facilitates a natural language processing (NLP) pre-training approach. In layman's terms, BERT helps Google get a better understanding of the context of user search queries.

It's the biggest five-year change in Google's algorithm, affecting one in ten search queries. Google aims to enhance the interpretation of complex long-tail search queries and display more relevant search results with the Google BERT Update. Google has greatly enhanced its ability to understand the semantic meaning of the search term by using Natural Language Processing.

BERT, which is what the latest and the biggest Google algorithm update is called, stands for Bidirectional Encoder Representations from Transformers, and is a deep learning algorithm related to natural language processing.

BERT makes use of Transformer, an attention mechanism that learns contextual relations between words (or sub-words) in a text.