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  2. Help:Searching/Features - Wikipedia

    en.wikipedia.org/wiki/Help:Searching/Features

    A comma separated list of the fields to use. Allowed fields are title, text, auxiliary_text, opening_text, headings and all. &cirrusMltUseFields (true or false) use only the field data. Defaults to false: the system will extract the content of the text field to build the query. &cirrusMltPercentTermsToMatch: The percentage of terms to match on.

  3. List of SQL reserved words - Wikipedia

    en.wikipedia.org/wiki/List_of_SQL_reserved_words

    This list includes SQL reserved words – aka SQL reserved keywords, [1] [2] as the SQL:2023 specifies and some RDBMSs have added. Reserved words in SQL and related products In SQL:2023 [ 3 ]

  4. Phrase search - Wikipedia

    en.wikipedia.org/wiki/Phrase_search

    Phrase search is one of many search operators that are standard in search engine technology, along with Boolean operators (AND, OR, and NOT), truncation and wildcard operators (commonly represented by the asterisk symbol), field code operators (which look for specific words in defined fields, such as the Author field in a periodical database ...

  5. Help:Searching - Wikipedia

    en.wikipedia.org/wiki/Help:Searching

    Whatever you type into the search box is called the "search string". It may also be referred to as the "search query". A basic search string is simply the topic you are interested in reading about. A direct match of a basic search string will navigate you directly to Wikipedia's article that has that title. A no

  6. Boyer–Moore string-search algorithm - Wikipedia

    en.wikipedia.org/wiki/Boyer–Moore_string-search...

    If the characters do not match, there is no need to continue searching backwards along the text. If the character in the text does not match any of the characters in the pattern, then the next character in the text to check is located m characters farther along the text, where m is the length of the pattern.

  7. Word2vec - Wikipedia

    en.wikipedia.org/wiki/Word2vec

    Word2vec is a technique in natural language processing (NLP) for obtaining vector representations of words. These vectors capture information about the meaning of the word based on the surrounding words. The word2vec algorithm estimates these representations by modeling text in a large corpus.

  8. Full-text search - Wikipedia

    en.wikipedia.org/wiki/Full-text_search

    In text retrieval, full-text search refers to techniques for searching a single computer-stored document or a collection in a full-text database.Full-text search is distinguished from searches based on metadata or on parts of the original texts represented in databases (such as titles, abstracts, selected sections, or bibliographical references).

  9. Select (SQL) - Wikipedia

    en.wikipedia.org/wiki/Select_(SQL)

    SQL includes operators and functions for calculating values on stored values. SQL allows the use of expressions in the select list to project data, as in the following example, which returns a list of books that cost more than 100.00 with an additional sales_tax column containing a sales tax figure calculated at 6% of the price.