Phonetic matching algorithms like Soundex are used in SAS text processing to group spelling variants. Which scenario best illustrates when Soundex would be more appropriate than edit distance (Levenshtein)?
Select an answer to reveal the explanation.
Short Explanation and Infographic
Here's the deal — b is correct because Soundex encodes words based on phonetic consonant patterns, making it ideal for name matching where the same person's name is spelled differently across records (e.g., 'Johnson', 'Jonson', 'Johnsen' all share the same Soundex code S525). A is wrong; 'color' vs 'colour' is better handled by edit distance (1-character difference) or synonym expansion.
Full explanation below image
Full Explanation
B is correct because Soundex encodes words based on phonetic consonant patterns, making it ideal for name matching where the same person's name is spelled differently across records (e.g., 'Johnson', 'Jonson', 'Johnsen' all share the same Soundex code S525). A is wrong; 'color' vs 'colour' is better handled by edit distance (1-character difference) or synonym expansion. C is wrong; single-character transpositions are edit distance scenarios. D is wrong; abbreviation/acronym normalization requires synonym expansion, not phonetic matching.