Fuzzy String Similarity and Word Stemmer

Stable Version 2.0.0 (O11)
Also available for 10
Published on 4 Jan by 
Created on 22 September 2018
Details
Fuzzy String Similarity and Word Stemmer. This implementation includes multiple text similarity algorithms. It can be used for smart/fuzzy search. Word stemmer implementation help to find the stem of the word. Demo module shows how to use text similarity as a smart search and word stemmer.
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Refer https://en.wikipedia.org/wiki/Approximate_string_matching


https://github.com/Yomguithereal/clj-fuzzy


Algorithms for text similarity are:-

  • Jaro-Winkler distance
  • Sorensen / Dice coefficient
  • Levenshtein distance
  • Hamming distance
  • Jaccard / Tanimoto distance
  • MRA Comparison
  • Tversky Index


Algorithms for word stemmer are:-

  • Lancaster stemmer
  • Lovins stemmer
  • Porter stemmer
  • Schinke stemmer


Algorithms for phonetics are:-

  • Metaphone
  • Double Metaphone
  • Soundex
  • NYSIIS
  • Caverphone
  • Cologne Phonetic
  • MRA codex



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Category
Libraries, Developer Tools
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This component is not supported by OutSystems. You may use the discussion forums to leave suggestions or obtain best-effort support from the community, including from Mukul Varshney who created this component.
Dependencies
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Requirements
Platform:
11.0.0.200
Database:
All
Stack:
All
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