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BERT Explained: What You Need to Know About Google’s New Algorithm

BERT Explained: What You Need to Know About Google’s New Algorithm

Discover what Google's BERT really is and how it works, how it will impact search, and whether you can try to optimize your content for it.

BERT ALGORITHM PPT-GOOGLE ALGORITHM


A Power Point Presentation about new google updation, BERT ALGORITHM.
BERT Explained: What You Need to Know About Google’s New Algorithm. Watch the video.
A presentation on Bidirectional Encoder Representations from Transformers (BERT) meant to introduce the model’s use cases and training.
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Google Bert Algorithm Update | What Is Google Bert Algorithm


Thank you for tuning in for this Google BERT Update.

Google has launched its latest search algorithm called BERT which is designed to better understand our natural language. It is expected that BERT will impact at least 10% of all search queries, which is the biggest change since the introduction of RankBrain.

BERT is Google’s new neural network-based technique for natural language processing. It stands for Bidirectional Encoder Representations from Transformers. Essentially, BERT teaches computers to understand our language to help understand how humans speak naturally.

This new tool will help search engines to better understand the nuances of our language and to ensure that the results given are relevant for the user.

BERT will also affect featured snippets and is being used globally, with all languages, on this tool.

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Google BERT | BERT Algorithm | BERT Explained | Google BERT Update | What is BERT Algorithm


Google BERT | BERT Google | BERT Algorithm | BERT Explained | Google BERT Update | What is BERT Algorithm

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BERT Explained: What You Need to Know About Google’s New Algorithm via @brentcsutoras


Reported today on Search Engine Journal

For the full article visit: http://tracking.feedpress.it/link/13962/13004521

BERT Explained: What You Need to Know About Google’s New Algorithm

Google’s newest algorithmic update, 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!

But did you know that BERT is not just any algorithmic update, but also a research paper and machine learning natural language processing framework?

In fact, in the year preceding its implementation, BERT has caused a frenetic storm of activity in production search.

On November 20, I moderated a Search Engine Journal webinar presented by Dawn Anderson, Managing Director at Bertey.

Anderson explained what Google’s BERT really is and how it works, how it will impact search, and whether you can try to optimize your content for it.

Here’s a recap of the webinar presentation.

What Is BERT in Search?

BERT, which stands for Bidirectional Encoder Representations from Transformers, is actually many things.

It’s more popularly known as a Google search algorithm ingredient /tool/framework called Google BERT which aims to help Search better understand the nuance and context of words in Searches and better match those queries with helpful results.

BERT is also an open-source research project and academic paper. First published in October 2018 as BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding, the paper was authored by Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova.

Additionally, BERT is a natural language processing NLP framework that Google produced and then open-sourced so that the whole natural language processing research field could actually get better at natural language understanding overall.

You’ll probably

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