To what does the term 'Textual Near Duplication' refer?

The term 'Textual Near Duplication' specifically pertains to the concept of identifying and grouping documents that exhibit a high degree of similarity in text but are not identical. This is especially relevant in document review processes, such as in legal settings or when managing large datasets, where efficiency and organization are crucial. By recognizing near-duplicate documents, teams can streamline their review efforts, ensuring that they focus on distinct content while minimizing redundancy in analysis.

Grouping similar documents aids in identifying patterns, verifying data consistency, and reducing the workload on reviewers. Therefore, this approach enhances the overall effectiveness of the review process, making it easier to manage large volumes of information by concentrating on unique contributions to the project or case at hand.