BERT is a deep learning model developed by Google that has significantly advanced natural language processing.
Key features:
- Contextual Understanding: Considers the context of a word by looking at words before and after it.
- Bidirectional Processing: Reads text in both directions to understand meaning.
- Improved Relevance: Helps search engines understand the nuances of language.
The evolution of BERT represents a leap forward in AI capabilities within search. In daily life, BERT enhances the relevance of search results, making it easier to find accurate information using natural, conversational language. For businesses, this evolution means that content should be optimized for user intent rather than just keywords. High-quality, contextually rich content is more likely to rank well. Understanding BERT can inform SEO strategies. Trust in search results is improved when the search engine accurately interprets and responds to complex queries.
(See also Natural Language Processing (NLP) and Transformer.)