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What is BERT? BERT is an important AI-powered updates to Google’s search algorithm. BERT is a neural network –based technique for natural language processing. It is designed to help Google understand the nuances of human language in search queries and website content. BERT is pre-trained on a massive amount of text data from the internet. This allows it to learn the relationships between words, phrases, and concepts. After pre-training, BERT can be fine- tuned for specific tasks, such as understanding search queries or classifying text.
BERT is particularly effective at understanding complex search queries that involve prepositions, conjunctions, and other nuanced language elements. As users increasingly use conversational language in their search queries, BERT helps Gouge understand their intent and delver more relevant results. BERT has also improved Google’s ability to identify the most relevant content for featured snippets –the short summaries that appear at the top of the search results.
BERT is particularly effective at understanding complex search queries that involve prepositions, conjunctions, and other nuanced language elements. As users increasingly use conversational language in their search queries, BERT helps Gouge understand their intent and delver more relevant results. BERT has also improved Google’s ability to identify the most relevant content for featured snippets –the short summaries that appear at the top of the search results.