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String Similarity Algorithms (Matching Percentage)
by Internal Labs
0
Activity
365
Summary
Summary
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 a 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
Code Language
C#, Visual Basic
Runtime
Windows Legacy (.Net Framework 4.6.1)
Technical
Version
1.1.0Updated
Feb 17, 2022Works with
Studio: 18.4 - 22.10
Certification
Silver Certified
Tags
string
string matching
mathing
similarity index
string similarity in
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