Emir is an invaluable member of our team, serving as one of our esteemed Account Managers. With a profound passion for on-page SEO, he possesses an exceptional talent for discovering innovative ways to optimise websites and enhance their rankings. Joining our organisation, Loop, in 2022, Emir brought with him a wealth of expertise gained from his Bachelor’s degree in Marketing Management and Advertising. Currently, he is eagerly pursuing his Master’s degree in International Marketing Strategy, further enhancing his comprehensive understanding of the global marketing landscape. Emir thrives on challenges and continuously seeks fresh opportunities to elevate our clients’ businesses to new heights. Aside from his professional endeavours, Emir has an unwavering passion for culinary arts and loves to cook up a storm. This ardour for cooking exemplifies his drive, creativity, and meticulous attention to detail, qualities that seamlessly translate into his work as a Digital Marketing Executive. His commitment to delivering exceptional results and his genuine enthusiasm for each project make him a trusted and highly sought-after professional. Emir’s profound expertise in on-page SEO, combined with his ambitious pursuit of knowledge and dedication to his clients, make him an invaluable asset to our team. His passion, both in and out of the office, reflects his commitment to excellence, leaving an indelible mark on our clients’ businesses.
Posted on 31/01/2020 by Emir Haskic
An Overview of BERT
Throughout this blog post, I will be going over what BERT is and how it works. As well as explain the benefits of BERT:
What is BERT?
BERT (Bidirectional Encoder Representations from Transformers) is essentially a natural language processing framework developed by Google to help their search engine with its understanding of search queries. Simply put, its aim is to help Google better understand the context of search queries.
For instance, someone searching ‘maths practice books for adults’ may see search results for kids’ maths books instead. However, post-BERT Google should understand that the user is searching for an adult maths book and won’t provide results for the child maths books.
The reason why BERT is more of a framework than a model is that it offers a basis for those who are in the machine learning sector. Allowing them to refine it for whatever tasks they may need it for.
What is Natural Language Processing?
Natural language processing (NLP) is what allows computers to understand how we naturally communicate, via artificial intelligence. But don’t be confused. This concept is not new for search engines, however, it is definitely an improvement in the field.
Examples of NLP are things such as machine translation, predictive typing, and spam finding tools. To name just a few.
How BERT Works
Using its transformer, BERT can look at data (search query/content, etc.) and learn the contextual relationship between two different words. The reason why this is an improvement to previous methods is that BERT is bidirectional, meaning that the text is not read left to right/right to left. But instead, it is read all at once by the transformer encoder. Therefore, technically it could be said that BERT is in fact non-directional. This method allows Google to learn the context of a word by analysing the words surrounding it.
Importance of BERT
BERT is important as it is trying to ensure that the intent behind the user’s query is fully understood so that the most relevant searches can be given to the user. Because of this, people will be able to quickly find the relevant information they’re looking for. Saving time for everyone.
For example, the framework will also be affecting which featured snippets are served when a person is searching for an answer, etc.
Should I Care About BERT?
Currently, BERT has only been applied to US SERPs and is said to affect around 10% of all queries. For anyone who is in the marketing area wondering if there are any changes or preparation that needs to be done, BERT will only be put in place to help Google understand people’s natural language in search queries and content. Therefore, there is no actual preparation or optimisation that can be done.
In comparison, around the time BERT was being rolled out in the US, many people in the SEO industry noticed that this was not as significant as a core update or previous updates such as Penguin, etc. However, this is from an SEO perspective.
Thank you for reading this blog post. Hopefully, you are now more knowledgeable and up to date with BERT, and are excited for it to be rolled out in the UK. If you are looking for guidance and expertise in the marketing industry, Loop Digital is here to help. Visit our contact page or call us today on 01604 806020.
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