https://github.com/soenneker/soenneker.utils.strings.dicecoefficient

A utility library for comparing strings via the Dice Coefficient algorithm
https://github.com/soenneker/soenneker.utils.strings.dicecoefficient

coefficient comparison csharp dice dicecoefficient dicecoefficientstringutil distance dotnet sorensen string strings util utils

Last synced: about 1 month ago
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A utility library for comparing strings via the Dice Coefficient algorithm

• Host: GitHub
• URL: https://github.com/soenneker/soenneker.utils.strings.dicecoefficient
• Owner: soenneker
• License: mit
• Created: 2024-12-04T18:49:45.000Z (about 1 month ago)
• Default Branch: main
• Last Pushed: 2024-12-04T19:33:47.000Z (about 1 month ago)
• Last Synced: 2024-12-04T19:49:33.341Z (about 1 month ago)
• Topics: coefficient, comparison, csharp, dice, dicecoefficient, dicecoefficientstringutil, distance, dotnet, sorensen, string, strings, util, utils
• Language: C#
• Homepage: https://soenneker.com
• Size: 0 Bytes
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE

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# ![](https://user-images.githubusercontent.com/4441470/224455560-91ed3ee7-f510-4041-a8d2-3fc093025112.png) Soenneker.Utils.Strings.DiceCoefficient

### A utility library for comparing strings via the Dice Coefficient algorithm

## Installation

```

dotnet add package Soenneker.Utils.Strings.DiceCoefficient

```

## Why?

The Dice Coefficient is a powerful way to measure similarity between strings or other sequences. It's particularly effective for comparing text fragments, identifying duplicates, and matching approximate content. Here's why it stands out:

### Pairwise Comparison:

It evaluates based on overlapping character pairs (bigrams), focusing on shared elements without considering their order.

### Balanced by Size:

It considers both the number of matches and the total size of the compared strings, ensuring a fair similarity measure.

### Suitable for Real-World Data:

Its sensitivity to shared sequences makes it effective for noisy or partially matching data.

### Fast and Scalable:

It's computationally efficient, making it applicable for large datasets or repeated comparisons.

## Usage

```csharp

var text1 = "This is a test";

var text2 = "This is another test";

double result = DiceCoefficientStringUtil.CalculatePercentage(text1, text2); // 74.07

```