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RapidFuzz: String Similarity Computation Using 'RapidFuzz'
Provides a high-performance interface for calculating string similarities and distances, leveraging the efficient library 'RapidFuzz' <https://github.com/rapidfuzz/rapidfuzz-cpp>. This package integrates the 'C++' implementation, allowing 'R' users to access cutting-edge algorithms for fuzzy matching and text analysis. Supported metrics include Levenshtein, Damerau-Levenshtein, Hamming, Jaro, Jaro-Winkler, Longest Common Subsequence (LCS), Optimal String Alignment (OSA), Indel, Prefix, and Postfix distances and similarities, as well as multiple fuzzy matching ratios.
Getting started
Browse package contents
Package details |
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| Author | Andre Leite [aut, cre], Hugo Vaconcelos [aut], Marcos Wasilew [aut], Carlos Amorin [aut], Diogo Bezerra [aut], Max Bachmann [ctb], Adam Cohen [ctb] |
| Maintainer | Andre Leite <leite@castlab.org> |
| License | MIT + file LICENSE |
| Version | 1.1.0 |
| URL | <https://github.com/StrategicProjects/RapidFuzz> <https://strategicprojects.github.io/RapidFuzz/> |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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