MarketplaceStudioActivityString Similarity Algorithms (Matching Percentage)

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String Similarity Algorithms (Matching Percentage)

String Similarity Algorithms (Matching Percentage)

by Internal Labs

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Activity

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Summary

Summary

This group of custom activities (String Matching Algorithms) serve the purpose of reducing development time for the user intending to implement one or more string matching logic in their project.

Overview

Overview

This custom activity is composed of 7 string matching algorithms and 1 helper tool activity (string clean-up).

The following activities are included in the package:

· Damerau Levenshtein

· Dice Coefficient

· Hamming Distance

· Jaccard Similarity

· Jaro Distance

· Jaro Winkler

· Levenshtein

· String Clean-up (helper activity tool)

Features

Features

The usecases for the string-matching algorithms are varied and depend on specific requirements:

· Introduce recognition of similarity between strings.

· Compare texts and get the percentage of errors.

· Use the logic to ascertain deviation in similarity.

· Use more than one logic (algorithm) to exploit different capabilities.

· Use a combination of algorithms to achieve increased accuracy.

· Quick POCs to check viability of algorithmic usage or to move over to RPA++ (ML models etc).

Additional Information

Additional Information

Dependencies

No custom installations required in Studio or feed. (C# 8.0 or greater, will work on any .NET framework greater than 4.0, .NET Core 5.0 or greater)

Code Language

C#, Visual Basic

Runtime

Windows (.Net 5.0 or higher)

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