Why this tool is useful
Use overlap coefficient when you need to know how completely a smaller tag, topic or vocabulary set is contained in a larger one.
Divide the shared unique-word count by the size of the smaller normalized word set to reveal set containment.
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Use overlap coefficient when you need to know how completely a smaller tag, topic or vocabulary set is contained in a larger one.
The local tool forms two normalized Unicode word sets, counts their intersection and compares it with the smaller set size rather than their union.
The sample texts share one word and the smaller set has two, giving an overlap coefficient of 0.5.
The calculation is deterministic and explains validation errors instead of silently changing invalid input.
Input and output remain in this tab. Copy and download happen through browser APIs without a server upload.
Every run reports its tool mode, timestamp and input/output size so transformed data can be audited.