Here are some examples of BERT in practice

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When is BERT used?
Google said BERT helps better understand the nuances and context of words during searches. It better matches those queries with more relevant results. The algorithm also describes snippets, in a similar way.


Text classification: BERT can be used for text classification, that is, assigning labels or categories to text data. For example, it can be used to classify the sentiment of customer reviews, analyze the tone of social media, or classify the thematic content of articles.
Proper Name Recognition: BERT can be used to recognize proper names, such as names, places, companies, etc., in text. This can be useful for automatically tagging proper names in articles, transcribing conversations, or indexing documents.
Machine Translation: BERT can be used to improve the quality of machine translation. By learning the context and semantics of a language, BERT can help generate more accurate and understandable translations.
Semantic Search: BERT can be used to improve search engines by better matching results to user queries. By analyzing context, BERT can take into account the semantic meaning of words and provide more relevant search results.
Analyzing dependencies between sentences: BERT can be used to analyze the dependencies between two sentences. For example, it can be used to identify the cause-and-effect relationship between two sentences or to recognize semantic similarity between two texts.
These examples only scratch the surface of potential applications for BERT. The algorithm is very flexible and can be adapted to many different natural language processing tasks.

In one example, Google said that when searching for “Brazil travelers to the US in 2019 need a visa,” the word “to” and its relationship to other questions are important to understanding the lebanon whatsapp lead meaning of the sentence. Previously, Google didn’t understand the meaning of these connections and returned results for US citizens traveling to Brazil. “With BERT, Search is able to capture this nuance and know that the very common word “to” is important here and understanding it can provide a much more relevant result for this type of query,” Google explained. Ultimately, the query results change as you can see in the image below.

When is BERT used?
The examples below are for illustrative purposes only and may not work in live search results.
BERT another example
In another example, searching for “do estheticians stand a lot at work” Google said that previously it would have matched the term “stand-alone” with the word “stand” used in the query. Google’s algorithm models understand that “stand” is related to the concept of job requirements and displays a more helpful answer.

BERT another example
BERT example of action
Be like a human BERT
In the example below, Google can understand the query better than an SEO specialist to show a more relevant search result, “Can you get medicine for someone pharmacy.” As you can see, the nuance is important from an algorithmic perspective, that the actual intent of this type of query is completely different than the algorithm has previously presented. Now, BERT knows that it is about you or your loved ones picking up a prescription.