Fuzzy Match

Fuzzy Match is a data matching platform that uses advanced text matching techniques and machine learning to deliver accurate and efficient search results on textual data. It accepts user-uploaded CSV or Excel files and enables searches across one or more columns, accommodating typos, misspellings, and varied data formats through semantic analysis and adaptive learning.

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How it works

1. Upload: Import CSV or Excel files containing textual data.
2. Select scope: Choose specific columns to search (text can span multiple columns).
3. Query: Enter a search query.
4. Match: The platform analyzes the query against the selected columns using fuzzy matching and semantic analysis, tolerating spelling variations and formatting differences.
5. Learn & adapt: Continuous feedback loops and iterative learning improve matching over time, adapting to evolving data structures and user needs.

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Use cases

• Data cleansing and deduplication in large textual datasets
• Retrieval of relevant documents from noisy corpora
• Search enhancements that tolerate typos and format variations
• Semantic search across heterogeneous data sources

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Data protection & Privacy

• Uploaded files are securely stored and automatically deleted after 24 hours. Users can delete data earlier from History.
• Emphasis on preserving data confidentiality during processing and storage.

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How to Use Fuzzy Match

1. Upload your data file. CSV or Excel formats supported.
2. Configure search scope. Select one or more columns to include in the search.
3. Enter your search query. Include terms or phrases you want to locate within the dataset.
4. Run the search. Review results that are enhanced by fuzzy and semantic matching.
5. Refine as needed. Use feedback loops to improve future matching accuracy.

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Core Features

• Robust fuzzy matching to tolerate typos and misspellings
• Semantic analysis for improved matching accuracy across varied data
• Flexible column-level search scope across CSV/Excel datasets
• Continuous learning with feedback loops to adapt to data changes
• High performance on large, noisy textual datasets
• Privacy-conscious data handling with automatic data deletion after 24 hours
• Clear data protection messaging and user control over uploaded files