Semantic search engines use NLP, contextual cues, synonyms, word variations, concept matching, specialized queries, and other strategies to create search results that are superior to those created by simple keyword-matching algorithms.

a,. True

b. False

Question

Renee Holmes

Computers & Technology

13 January, 06:48

Semantic search engines use NLP, contextual cues, synonyms, word variations, concept matching, specialized queries, and other strategies to create search results that are superior to those created by simple keyword-matching algorithms.

a,. True

b. False

+2

Answers (1)

Know the Answer?

Stephen Snow · Answer 1

It is TRUE that "Semantic search engines use NLP, contextual cues, synonyms, word variations, concept matching, specialized queries, and other strategies to create search results that are superior to those created by simple keyword-matching algorithms. "

Explanation:

Semantic search engine use NLP (natural language processing).

Natural Language Processing (NLP) : is a branch of artificial intelligence that deals with the interaction between computers and humans using the natural language.

Semantic search engines use NLP, contextual cues, synonyms, word variations, concept matching, specialized queries, and other strategies to create search results that are superior to those created by simple keyword-matching algorithms.a,. Trueb. False

Semantic search engines use NLP, contextual cues, synonyms, word variations, concept matching, specialized queries, and other strategies to create search results that are superior to those created by simple keyword-matching algorithms.

a,. True

b. False