Sørensen–Dice coefficient algorithm

Online tool to test the Sørensen–Dice coefficient algorithm

What is the Sørensen–Dice coefficient algorithm?

The Sørensen–Dice coefficient is a similarity coefficient that is used to compare the similarity of two samples. It is commonly used in the field of natural language processing, where it is used to compare the similarity of two strings of text. The coefficient is calculated by dividing the number of common elements in the two samples by the average number of elements in the two samples. The result is a number between 0 and 1, where 0 indicates that the two samples have no elements in common, and 1 indicates that the two samples are identical. The Sørensen–Dice coefficient is often used in conjunction with other similarity measures to provide a more comprehensive measure of similarity.

At Tilores we use the Sørensen–Dice coefficient algorithm as one of the potential data record matching algorithms for entity resolution. These can be combined with other matching algorithms to allow fine-tuned data matching and deduplication.

Other Fuzzy Matching Algorithm Tools

Are we missing a fuzzy matching algorithm you would like to test? Let us know.

About Tilores

When you need to do fuzzy matching on high-volume data in real-time, you need a built-for-purpose technology: enter Tilores.

Consistently fast search response times

Built for unlimited serverless scaling

Real-time data ingestion and simultaneous search.

Configure matching rules easily in the UI

Data privacy compliant by design