string-similarity

A Java library that implements several algorithms that calculate similarity between strings.

Лицензия

Лицензия

Категории

Категории

Сеть
Группа

Группа

net.ricecode
Идентификатор

Идентификатор

string-similarity
Последняя версия

Последняя версия

1.0.0
Дата

Дата

Тип

Тип

jar
Описание

Описание

string-similarity
A Java library that implements several algorithms that calculate similarity between strings.
Система контроля версий

Система контроля версий

https://github.com/rrice/java-string-similarity

Скачать string-similarity

Как подключить последнюю версию

<!-- https://jarcasting.com/artifacts/net.ricecode/string-similarity/ -->
<dependency>
    <groupId>net.ricecode</groupId>
    <artifactId>string-similarity</artifactId>
    <version>1.0.0</version>
</dependency>
// https://jarcasting.com/artifacts/net.ricecode/string-similarity/
implementation 'net.ricecode:string-similarity:1.0.0'
// https://jarcasting.com/artifacts/net.ricecode/string-similarity/
implementation ("net.ricecode:string-similarity:1.0.0")
'net.ricecode:string-similarity:jar:1.0.0'
<dependency org="net.ricecode" name="string-similarity" rev="1.0.0">
  <artifact name="string-similarity" type="jar" />
</dependency>
@Grapes(
@Grab(group='net.ricecode', module='string-similarity', version='1.0.0')
)
libraryDependencies += "net.ricecode" % "string-similarity" % "1.0.0"
[net.ricecode/string-similarity "1.0.0"]

Зависимости

test (2)

Идентификатор библиотеки Тип Версия
org.mockito : mockito-all jar 1.10.19
junit : junit jar 4.12

Модули Проекта

Данный проект не имеет модулей.

Build Status

java-string-similarity that calculates a normalized distance or similarity score between two strings. A score of 0.0 means that the two strings are absolutely dissimilar, and 1.0 means that absolutely similar (or equal). Anything in between indicates how similar each the two strings are.

Example

In this simple example, we want to calculate a similarity score between the words McDonalds and MacMahons. We are selecting the Jaro-Winkler distance algorithm algorithm.

SimilarityStrategy strategy = new JaroWinklerStrategy();
String target = "McDonalds";
String source = "MacMahons";
StringSimilarityService service = new StringSimilarityServiceImpl(strategy);
double score = service.score(source, target); // Score is 0.90

Algorithms

Installation

This project currently uses Maven for management. You can compile, test and install the component to your local repo by calling:

mvn install

Then, you can add this component to your project by adding a dependency:

<dependency>
    <groupId>net.ricecode</groupId>
	<artifactId>string-similarity</artifactId>
	<version>1.0.0</version>
</dependency>

TODO

Версии библиотеки

Версия
1.0.0