How Google uses NLP to better understand search queries, content

The podcast explains the importance of Natural Language Processing (NLP) for Google search. NLP enables Google to semantically understand search terms and content by recognizing entities and analyzing their relationships. This is the basis for the development of semantic search, where the meaning of words is considered in the context of the entire search term. Algorithms such as BERT and MUM use NLP to improve search quality and expand the knowledge graph. The transition from a classic, content-based index to an entity-based index is a key issue.

https://searchengineland.com/how-google-uses-nlp-to-better-understand-search-queries-content-387340