BERT is one of the major and latest algorithm updates of Google. BERT is the abbreviation of Bidirectional Encoder Representations from Transformers and refers to a deep learning algorithm that is associated with natural language processing. BERT is a natural language processing pre-training approach that helps in handling tasks like question-answering, entity recognition, and part of speech tagging.
Importance of BERT for Google
Google makes use of BERT to understand the search query context better. BERT helps in understanding the nuances as well as the contexts better which is useful in providing relevant results that better match the queries on Google. The BERT model is built on Transformers, a mathematical model that helps in analyzing and processing the words in a given sentence.
It helps in delivering quality results that the user searches for on Google. Fifteen percent of the search queries on Google are completely new, which means users are searching for them for the first time. With the incorporation of Voice search, the phrasing of queries is also getting closer to human communication.
The length of the search queries is also increasing. The BERT update of Google helps in understanding the nuances of the concept and providing precise answers to the users within a fraction of seconds. BERT enables Google to understand the human-like queries that are in more natural or conversational language and provide relevant results.
Impact of Google BERT Update
The Google BERT update has a significant effect on long-tail queries. It helps in enhancing the interpretation of the context of the long-tail queries. BERT assists in better understanding of the questions that are entered into the search bar. Other aspects that the BERT update impacts include:
Google BERT update also impacts the featured snippets. With the latest update, Google will show more relevant featured snippets. BERT will help in understanding the query as well as the context better and offer exact answers to the questions quickly.
The latest algorithm update of Google impacted the content strategies. Content is a very important part for Google. As BERT will dramatically improve the understanding of the search queries, content strategies will have to comply with the needs. As Google will now understand the natural language better and focus on featured snippets and long-tail keywords, the content that answers the queries of users more humanly will be considered as more valuable.
BERT had significantly impact all search queries on Google. With significant benefits, the latest update is considered to be one of the most significant leaps forward.