https://github.com/interzoid/fullnamematchscore-go

Generates a match score of two person names from 0-100, where 100 is the highest, on how closely two individual full names match. The scoring is based on a series of tests, algorithms, AI, and an ever-growing body of Machine Learning-based generated knowledge
https://github.com/interzoid/fullnamematchscore-go

ai data-analytics data-assessment data-assets data-quality data-science machine-learning name-matching scoring

Last synced: 5 months ago
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Generates a match score of two person names from 0-100, where 100 is the highest, on how closely two individual full names match. The scoring is based on a series of tests, algorithms, AI, and an ever-growing body of Machine Learning-based generated knowledge

• Host: GitHub
• URL: https://github.com/interzoid/fullnamematchscore-go
• Owner: interzoid
• License: mit
• Created: 2023-02-01T19:45:54.000Z (over 3 years ago)
• Default Branch: master
• Last Pushed: 2023-09-17T20:09:46.000Z (over 2 years ago)
• Last Synced: 2024-06-20T05:05:58.088Z (almost 2 years ago)
• Topics: ai, data-analytics, data-assessment, data-assets, data-quality, data-science, machine-learning, name-matching, scoring
• Language: Go
• Homepage: https://www.interzoid.com
• Size: 6.84 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
## fullnamematchscore-go

Go package for generating a matching score of two individual person names from 0-100, where 100 is the highest matching score, on how closely two individual full names match. The scoring is based on a series of tests, algorithms, AI, and an ever-growing body of Machine Learning-based generated knowledge.

### Usage

To generate the match score, you will need the following information:

- an API License key, available at https://www.interzoid.com

- two individual full names to compare

Begin by retrieving the package:

    go get "github.com/interzoid/fullnamematchscore-go"

Import the package into your code:

    import "github.com/interzoid/fullnamematchscore-go"

Then, feed the information into the GetScore() method:

    score, code, credits, err := FullNameMatchScore.GetScore("YOUR-API-KEY","Jim Smith","Mr. James Smyth")

The return values will be the generated match comparison score (0-100), a code (success or failure), how many remaining credits on your API key, and any error messages. The score allows you to set a score threshold in your own logic for your specific case, for example, any score higher than 50 can be considered a "match" (or 60, 70, etc.)

Examples:

    "James Kelly", "Jim Kelly"  ->  85

    "Mr Robert J McCarthy", "Bob Macarthy"  ->  80

See Also:

**Individual Name Similarity Keys**: https://github.com/interzoid/fullnamesimkey-go

**Company Name Similarity Keys**: https://github.com/interzoid/companynamesimkey-go

**Street Address Similarity Keys**: https://github.com/interzoid/streetaddresssimkey-go