Naturallanguageprocessing, String Matching, R, Jaro Winkler, Levenshtein Distance.
churns out “Sullivan Building” (Levenshtein similarity = 0.66) as more matching with “Hollister Building” than “Hollister Hall” would (Levenshtein similarity = 0.61), which is incorrect. We need a method that takes into account the fact that, in the English language, the main name, identifier, or