The Semantic Search algorithm works by discovering contextual relationships between words and terms. Through natural language processing techniques like named entity recognition (NER), the algorithm recognizes and extracts entities in a text. When a person inputs a query into a search engine like Google, Bing, or a company’s private intelligent search engine, the NLP algorithms break down the query into subsets. They use tasks such as error correction, synonyms, POS tagging retrieval, and conversion to word embeddings to analyze the text. Combining all these activities, they extract relevant details from the data source and present the user with precise results.