go-similarity

Similarity or distance metrics for string implemented on Golang, inspired by Sam Chapman's SimMetrics library.

Installation

Run the following command to install the package:

go get -u github.com/ghosind/go-similarity

Getting Started

To use the similarity package, you need to import it in your Go file and create a new instance of the similarity you want to use.

sim := new(similarity.BlockDistance)
similarity := sim.Compare("Hello World", "Hello Go")
fmt.Println(similarity)
// 0.5

Supported Metrics Algorithms

• Block Distance
• Chapman Length Deviation
• Cosine Similarity
• Dice Coefficient
• Euclidean Distance
• Jaccard Coefficient
• Levenshtein Distance
• Matching Coefficient
• Needleman Wunsch
• Overlap Coefficient

Builtin Tokenizers

• Whitespace Tokenizer: Tokenize the input string by whitespace.

License

This project is licensed under the MIT License - see the LICENSE file for details.