Fuzzy Match Howto
Fuzzy Match is an advanced data matching solution that uses machine learning and fuzzy logic to accurately match and search text data across large datasets, even with typos and variations.
View MoreHow to Use Fuzzy Match
Upload data file: Upload a CSV or Excel file containing the textual data you want to search through.
Select columns: Choose the specific columns in your data that you want to search within.
Enter search query: Type in the text you want to search for. The search can span multiple columns.
Run search: Click the search button to have Fuzzy Match analyze your query and data using its machine learning algorithms.
Review results: Examine the search results, which will show matches based on fuzzy matching and semantic analysis, accounting for typos and variations.
Refine search if needed: Adjust your search query or column selections to further refine the results if necessary.
Export or use results: Export the matching results or use them for your data analysis needs.
Fuzzy Match FAQs
Fuzzy matching is a technique that identifies the likelihood that two records or strings are a match, even if they are not exactly identical. It uses algorithms to compare strings and determine their similarity, accounting for variations in spelling, formatting, and other differences.
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