Google uses BERT (Bidirectional Encoder Representations from Transformers) to understand ambiguous language in text. Unlike previous language models, BERT considers the entire context of a sentence instead of individual words.
NLP (Natural Language Processing) refers to the use of gambling database turkey AI to understand and analyze human language to understand what a text really means. By using NLP in SEO, you can understand the intent of user queries and create human-focused content that exactly matches searcher intent.
How does NLP work?
NLP acts as a brain for computers, helping them understand human language. This technology helps Google understand and decipher human language.
It also helps search engines understand the syntax, semantics, entities, sentiment, and discourse in search queries and website content.
The process starts with a user entering a search query into the Google search box.
The query can be a question, a statement, or a combination of keywords.
Then, Google's NLP computations examine the user query. This includes dissecting the query into its parts, figuring out the context, and discovering the user's intent.
BERT is the language domain model used for NLP calculations.
Before BERT, Google's algorithms struggled to understand the meaning of words in search queries. BERT changed that by helping Google examine words in relation to each other, both before and after a sentence.
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