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similar_text— Calculate the similarity between two strings Description similar_text(string$string1, string$string2, float&$percent= null): int This calculates the similarity between two strings as described in Programming Classics: Implementing the World's Best Algorithms by Oliver (ISBN -131-00413-1).
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Parameters. string1. The first string. string2. The second string. Note: . Swapping the string1 and string2 may yield a different result; see the example below.. percent. By passing a reference as third argument, similar_text() will calculate the similarity in percent, by dividing the result of similar_text() by the average of the lengths of the given strings times 100.
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PHP string similar_text () Function. The string similar_text () function is in-built PHP function. It is used to calculates the similarity between two strings in percent. Note: The Levenshtein () function is faster than similar_text () function. It will give us more accurate result.
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Description. The similar_text () function calculates the similarity between two strings. The following table summarizes the technical details of this function. Return Value: Returns the number of matching characters in both strings. Version: PHP 4+.
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The PHP similar_text() function calculates the similarity between two strings. It can also calculate the similarity of the two strings in percent. Note: The levenshtein() function is faster than this function. However, this function gives more accurate result with less modifications needed.
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In PHP, the similar_text() function is a built-in function used to calculate the similarity between two strings. It counts the number of matching characters in both strings and returns this count as an integer. An optional parameter can be provided to calculate the similarity as a percentage. This function is commonly used in tasks where it is.
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The similar_text() function calculates the similarity between two strings. It can also calculate the similarity of the two strings in percent. Note: The levenshtein() function is faster than the similar_text() function. However, the similar_text() function will give you a more accurate result with less modifications needed.
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The similar_text () function is a built-in function in PHP. This function calculates the similarity of two strings and returns the number of matching characters in the two strings. The function operates by finding the longest first common sub-string, and repeating this for the prefixes and the suffixes, recursively.
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The similar_text () function is a useful tool for comparing two strings and determining how closely they match. It allows you to calculate the similarity between two strings, which can be useful in a variety of applications. By mastering this function, you can become a more proficient PHP developer.
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The PHP function similar_text () is a simple algorithm for calculating the similarity between two strings. A string represents a sequence of characters, letters or words that are grouped together as a string of variable length. In practice, PHP similar-text () fulfills many different purposes for websites and can increase their functionality.
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similar text() function in PHP - The similar_text() function is used to calculate the similarity between two strings.Syntaxsimilar_text(str1, str2, percent)Parametersstr1 − The first thing to be comparedstr2 − The second string to be comparedpercent − Specifies a variable name for storing the similarity in percent.ReturnThe s
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In PHP, the similar_text() function is a built-in function used to calculate the similarity between two strings. It counts the number of matching characters in both strings and returns this count as an integer. An optional parameter can be provided to calculate the similarity as a percentage. This function is commonly used in tasks where it is.
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How does similar_text work? Ask Question Asked 10 years, 11 months ago Modified 4 years, 8 months ago Viewed 20k times Part of PHP Collective 54 I just found the similar_text function and was playing around with it, but the percentage output always suprises me. See the examples below.
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I've found that to calculate a similarity percentage between strings, the Levenshtein and Jaro Winkler algorithms work well for spelling mistakes and small changes between strings, while the Smith Waterman Gotoh algorithm works well for strings where significant chunks of the text would be the same but with "noise" around the edges.
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Defines the cost of replacement. deletion_cost Defines the cost of deletion. Return Values ¶ This function returns the Levenshtein-Distance between the two argument strings. Changelog ¶ Examples ¶