Google BERT (Bidirectional Encoder Representations from Transformers) is a natural language processing algorithm that helps Google better understand the context and nuance of words in search queries. Unlike previous algorithms, BERT analyzes words in relation to all other words in a sentence rather than sequentially. This advancement primarily benefits conversational queries and long-tail keywords, rewarding content that addresses user intent naturally rather than focusing on keyword density or exact match optimization.
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