What does fuzzy searching allow?

Fuzzy searching is a feature of dtSearch that finds documents containing terms similar in spelling to the specified term. It is useful for identifying misspellings, typographical errors, or variations in character recognition (OCR) within a document set. The degree of similarity is controlled by the fuzziness level, which determines the number of character differences allowed between the search term and the matched term. For example, a search for "apple~1" could return documents containing "apply" or "axple".

A. Exact matches only: This describes a standard keyword search, which is the opposite of fuzzy searching's purpose of finding variations.

C. Delete duplicates: This function is handled by deduplication processes, which identify and remove exact or near-duplicate files, not by a search methodology.

D. Sort documents: Sorting is an organizational function based on metadata fields like date or author, and is unrelated to finding conceptually similar terms.

- Relativity - Searching. (n.d.). dtSearch operators. Relativity Documentation. Retrieved from the RelativityOne documentation portal. The section on the tilde (~) operator describes its use for fuzzy searching to find words that "differ only by a few characters."

- Relativity - Searching. (n.d.). Using dtSearch syntax options. Relativity Documentation. Retrieved from the RelativityOne documentation portal. This page details various search syntax, including fuzzy searching, contrasting it with exact match methods.