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How to find similar text in a large string? Ask Question Asked Viewed PHP 2 I have a large string str and a needle ndl. Now, I need to find similar text of ndl from the string str. For example, SOURCE: "This is a demo text and I love you about this". NEEDLE: "I you love" OUTPUT: "I love you" SOURCE: "I have a unique idea. Do you need one?".
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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. Syntax
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Test similar_text online. Execute similar_text with this online tool. similar_text () - Calculate the similarity between two strings.
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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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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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The `similar_text ()` function calculates the similarity between two strings by calculating the number of matching characters in both strings. It then returns the number of matching characters as an integer. The function also provides an optional parameter to calculate the similarity as a percentage.
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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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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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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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The similar_text () function is used to calculate the number of similar characters between two strings. The similar_text () function can also calculate the similarity of the strings in percent. Version: (PHP 4 and above) Syntax: similar_text (first_string, second_string, npercent) Parameter: Return value:
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Similar text (similar_text) in PHP accepts two string parameters and an optional float percentage value (passed by reference). The idea is to pass the function to two different strings and the similar_text function will return an integer value of their similarity.
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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 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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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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Description ¶. The Levenshtein distance is defined as the minimal number of characters you have to replace, insert or delete to transform string1 into string2 . The complexity of the algorithm is O (m*n) , where n and m are the length of string1 and string2 (rather good when compared to similar_text (), which is O (max (n,m)**3) , but still.