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In natural language full-text searches, MySQL looks for documents relevant to the free-text natural human language query. MySQL represents the relevance as a positive floating-point number, where a relevance of zero indicates no similarity.
By default or with the IN NATURAL LANGUAGE MODE modifier, the MATCH() function performs a natural language search for a string against a text collection. A collection is a set of one or more columns included in a FULLTEXT index. The search string is given as the argument to AGAINST().
A natural language search interprets the search string as a phrase in natural human language (a phrase in free text). There are no special operators, with the exception of double quote (") characters. The stopword list applies.
26 maj 2023 · Features of MySQL Full-Text Search. Natural Language Search: Means it can understand user query in more human-like ways, taking into account the word proximity , synonyms, and stop words. Moderate Index size: The size of a FULL-TEXT index is relatively small.
2 maj 2022 · We can perform a natural-language full-text search using the IN NATURAL LANGUAGE MODE modifier with the AGAINST clause. The following syntax shows how to use the natural language full-text search. SELECT col_name FROM table_name. WHERE MATCH (target_col_names)
The MySQL full-text search allows you to search natural language text rather than matching patterns. It goes beyond the traditional LIKE operator and regular expression searches.
Stop Words in a Search. The Natural Language Full-text Search uses tf-idf algorithm, where 'tf' refers to term frequency and 'idf' is inverse document frequency. The search refers to the frequency of a word in a single document, and the number of documents the word is present in.
