How to Implement Token Jaccard Similarity for Text Comparison in TypeScript

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Token Jaccard Similarity is a lightweight, dependency-free method for measuring how similar two pieces of text are, suitable for use in both browser and Node.js environments. The technique works by tokenizing text into word sets and applying the Jaccard index formula — dividing the size of the intersection by the size of the union of both sets — to produce a score between 0 and 1. A fully typed TypeScript implementation can be built using native Set operations, with no external libraries required. Practical applications include duplicate content detection, article recommendations, dataset deduplication, and basic plagiarism detection, each with recommended similarity thresholds. The approach has known limitations, such as ignoring word order and sensitivity to common words, which can be mitigated by removing stop words or using n-gram-based variants.

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