What is the BERT Algorithm?

[sophiawils59]

Google BERT is a deep learning algorithm that uses natural language processing (NLP) to better understand search queries.

[shimar456]

BERT, which stands for Bidirectional Encoder Representations from Transformers, is a neural network-based technique for natural language processing pre-training. In plain English, it can be used to help Google better discern the context of words in search queries.

[jesica]

BERT, helps Google understand natural language better, particularly in conversational search. BERT will impact around 10% of queries. It will also impact organic rankings and featured snippets. So this is no small change!

[nicksamson]

BERT, which stands for Bidirectional Encoder Representations from Transformers, is a neural network-based technique for natural language processing pre-training. In plain English, it can be used to help Google better discern the context of words in search queries.


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[godwin]

BERT, which stands for Bidirectional Encoder Representations from Transformers, is a neural network-based technique for natural language processing pre-training. In plain English, it can be used to help Google better discern the context of words in search queries.

[juliaalan]

BERT stands for Bidirectional Encoder Representations from Transformers. BERT is a neural network-based technique for natural language processing (NLP) that has been pre-trained on the Wikipedia corpus. The full acronym reads Bidirectional Encoder Representations from Transformers. That’s quite the mouthful. It’s a machine-learning algorithm that should lead to a better understanding of queries and content.


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