How are documents that are not textually similar to any other documents identified in TND analysis?

In TND (Textual Near Duplicate) analysis, documents that do not exhibit textual similarity to any other documents are identified through a specific characteristic. These documents will not have the fields populated for Textual Near Duplicate Principal. This means that there is no reference to any other document, as they are deemed unique or standalone in terms of their textual content.

The absence of populated fields indicates that the system has not found any other documents that are similar enough to warrant a comparison or categorization alongside them. This is key in TND analysis, as the focus is on establishing relationships between documents based on their text, and documents that stand apart are simply recognized as distinct with no relevant duplicates.

The other options describe characteristics that apply to different scenarios where documents are either part of a group of near duplicates or given a similarity score relative to existing documents. Thus, recognizing standalone documents relies on the lack of any similarity indicators within the TND framework. This clarity helps users understand how unique documents are treated in TND analysis, focusing purely on their individuality rather than comparing them to others.