Which statement is true about duplicate documents in Active Learning?

The statement that word order does not affect the categorization of duplicate documents in Active Learning is accurate because Active Learning techniques focus on the content and semantics of the documents rather than their precise formatting or word arrangement. In the context of document analysis, two documents can still convey the same meaning despite differences in the order of words. This allows the system to recognize their relevance based on the concepts expressed rather than their verbatim content.

This principle is fundamental in information retrieval and natural language processing, where synonymy and paraphrasing play crucial roles in how documents are evaluated and categorized, enabling a more robust understanding of the data. As a result, Active Learning can effectively leverage this flexibility in word order to enhance its predictive capabilities and improve the overall efficiency of document categorization without losing sight of the meaning contained within.

Regarding the other statements, complete suppression of duplicate documents from the database is typically not the case as doing so might remove useful information from the dataset. The idea that duplicate documents must be identical in every aspect is not valid, as documents may share substantial content but differ in formatting or metadata. Finally, while other factors may influence the suppression of documents, the core principle that word order does not impact categorization stands strong in the context of Active Learning methodologies.