Soenneker.Utils.String.CosineSimilarity 3.0.713

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dotnet add package Soenneker.Utils.String.CosineSimilarity --version 3.0.713                
NuGet\Install-Package Soenneker.Utils.String.CosineSimilarity -Version 3.0.713                
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<PackageReference Include="Soenneker.Utils.String.CosineSimilarity" Version="3.0.713" />                
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Soenneker.Utils.String.CosineSimilarity --version 3.0.713                
#r "nuget: Soenneker.Utils.String.CosineSimilarity, 3.0.713"                
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package.
// Install Soenneker.Utils.String.CosineSimilarity as a Cake Addin
#addin nuget:?package=Soenneker.Utils.String.CosineSimilarity&version=3.0.713

// Install Soenneker.Utils.String.CosineSimilarity as a Cake Tool
#tool nuget:?package=Soenneker.Utils.String.CosineSimilarity&version=3.0.713                

alternate text is missing from this package README image alternate text is missing from this package README image alternate text is missing from this package README image

alternate text is missing from this package README image Soenneker.Utils.String.CosineSimilarity

A utility library for comparing strings via Cosine Similarity

Installation

dotnet add package Soenneker.Utils.String.CosineSimularity

Why?

Imagine you have two sentences or documents. Cosine similarity helps you figure out how similar they are by looking at the -words- they share. Here's why it's handy:

Easy to Understand:

Cosine similarity is easy to understand. It's a number between 0 and 1 that represents how similar two documents are. The closer to 1, the more similar they are.

Not Bothered by Length:

Whether a text is long or short doesn't throw off cosine similarity. It cares more about the words and their relationships than the total number of words.

Meaning, Not Just Frequency:

It focuses on the meaning of words, not just how often they show up. So, even if one document has a lot more words than another, they might still be considered similar if they share important terms.

Efficient for Big Tasks:

When you're dealing with lots of documents or a ton of text, cosine similarity is efficient. It doesn't get bogged down by complicated calculations, making it a practical choice for large datasets.

Usage

var text1 = "This is a test";
var text2 = "This is another test";

double result = CosineSimilarityStringUtil.CalculateSimilarityPercentage(text1, text2); // 75
Product Compatible and additional computed target framework versions.
.NET net9.0 is compatible.  net9.0-android was computed.  net9.0-browser was computed.  net9.0-ios was computed.  net9.0-maccatalyst was computed.  net9.0-macos was computed.  net9.0-tvos was computed.  net9.0-windows was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.
  • net9.0

    • No dependencies.

NuGet packages

This package is not used by any NuGet packages.

GitHub repositories

This package is not used by any popular GitHub repositories.

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2.1.144 107 2/16/2024
2.1.143 129 2/16/2024
2.1.142 113 2/16/2024
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2.1.139 122 2/14/2024
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2.1.136 129 2/14/2024
2.1.135 110 2/13/2024
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2.1.133 106 2/13/2024
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2.1.129 141 2/12/2024
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2.1.127 118 2/12/2024
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2.1.125 118 2/11/2024
2.1.124 121 2/11/2024
2.1.123 140 2/11/2024
2.1.122 133 2/11/2024
2.1.121 122 2/11/2024
2.1.120 114 2/11/2024
2.1.119 123 2/10/2024
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2.1.116 128 2/10/2024
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2.1.111 128 2/9/2024
2.1.110 126 2/9/2024
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2.1.103 116 2/8/2024
2.1.102 124 2/7/2024
2.1.101 128 2/7/2024
2.1.100 131 2/7/2024
2.1.99 116 2/7/2024
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2.1.95 137 2/7/2024
2.1.94 122 2/6/2024
2.1.93 114 2/6/2024
2.1.92 118 2/6/2024
2.1.91 118 2/5/2024
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2.1.89 124 2/4/2024
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2.1.87 121 2/3/2024
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2.1.85 118 1/31/2024
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2.1.82 97 1/31/2024
2.1.81 123 1/30/2024
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2.1.75 113 1/29/2024
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2.1.46 118 1/19/2024
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2.1.43 137 1/16/2024
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2.1.35 126 1/15/2024
2.1.34 130 1/14/2024
2.1.33 117 1/14/2024
2.1.32 127 1/13/2024
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2.1.29 132 1/13/2024
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2.1.25 117 1/11/2024
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2.1.23 134 1/11/2024
2.1.22 130 1/9/2024
2.1.21 146 1/8/2024
2.1.20 126 1/8/2024
2.1.19 144 1/8/2024
2.1.18 153 1/7/2024
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2.1.16 138 1/5/2024
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2.1.14 139 1/5/2024
2.1.13 150 1/5/2024
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2.1.11 122 1/1/2024
2.1.10 108 1/1/2024
2.1.9 120 1/1/2024
2.1.8 108 1/1/2024
2.1.7 119 1/1/2024
2.1.6 147 12/31/2023
2.1.5 126 12/31/2023
2.1.4 140 12/31/2023
2.1.3 128 12/31/2023
2.1.2 107 12/31/2023
2.1.1 115 12/31/2023