string_similarity 1.0.0 copy "string_similarity: ^1.0.0" to clipboard
string_similarity: ^1.0.0 copied to clipboard

outdated

Finds degree of similarity between two strings, based on Dice's Coefficient, which is mostly better than Levenshtein distance.

string-similarity #

Finds degree of similarity between two strings, based on Dice's Coefficient, which is mostly better than Levenshtein distance.

Table of Contents #

Usage #

Add this to your package's pubspec.yaml file:

dependencies:
	string-similarity: ^1.0.0

In your code:

import  'package:string_similarity/string_similarity.dart';

var similarity = StringSimilarity.compareTwoStrings('french', 'quebec');

var matches = StringSimilarity.findBestMatch('healed', ['edward', 'sealed', 'theatre']);

API #

Requiring the module gives an object with two methods:

compareTwoStrings(first, second) #

Returns a fraction between 0 and 1, which indicates the degree of similarity between the two strings. 0 indicates completely different strings, 1 indicates identical strings. The comparison is case-sensitive.

Arguments
  1. first (String): The first string
  2. second (String): The second string

Order does not make a difference.

Returns

(double): A fraction from 0 to 1, both inclusive. Higher number indicates more similarity.

Examples
stringSimilarity.compareTwoStrings('healed', 'sealed');
// → 0.8

stringSimilarity.compareTwoStrings('Olive-green table for sale, in extremely good condition.',
  'For sale: table in very good  condition, olive green in colour.');
// → 0.6060606060606061

stringSimilarity.compareTwoStrings('Olive-green table for sale, in extremely good condition.',
  'For sale: green Subaru Impreza, 210,000 miles');
// → 0.2558139534883721

stringSimilarity.compareTwoStrings('Olive-green table for sale, in extremely good condition.',
  'Wanted: mountain bike with at least 21 gears.');
// → 0.1411764705882353

findBestMatch(mainString, targetStrings) #

Compares mainString against each string in targetStrings.

Arguments
  1. mainString (String): The string to match each target string against.
  2. targetStrings (List<String>): Each string in this array will be matched against the main string.
Returns

(BestMatch): An object with a ratings property, which gives a similarity rating for each target string, a bestMatch property, which specifies which target string was most similar to the main string, and a bestMatchIndex property, which specifies the index of the bestMatch in the targetStrings array.

Examples
stringSimilarity.findBestMatch('Olive-green table for sale, in extremely good condition.', [
  'For sale: green Subaru Impreza, 210,000 miles',
  'For sale: table in very good condition, olive green in colour.',
  'Wanted: mountain bike with at least 21 gears.'
]);
// →
{ ratings:
   [ { target: 'For sale: green Subaru Impreza, 210,000 miles',
       rating: 0.2558139534883721 },
     { target: 'For sale: table in very good condition, olive green in colour.',
       rating: 0.6060606060606061 },
     { target: 'Wanted: mountain bike with at least 21 gears.',
       rating: 0.1411764705882353 } ],
  bestMatch:
   { target: 'For sale: table in very good condition, olive green in colour.',
     rating: 0.6060606060606061 },
  bestMatchIndex: 1
}

#

based on 'string-similarity' Javascript project : https://github.com/aceakash/string-similarity

113
likes
0
pub points
97%
popularity

Publisher

verified publisherjeremylandon.com

Finds degree of similarity between two strings, based on Dice's Coefficient, which is mostly better than Levenshtein distance.

Repository (GitHub)
View/report issues

License

unknown (license)

More

Packages that depend on string_similarity