Categorilestirme

Categorilestirme is a neologistic term describing the systematic process of assigning objects, ideas, or people to predefined categories to facilitate analysis, communication, or decision making. It is used across disciplines such as information management, data science, sociology, linguistics, and education to create organized classification schemes.

The typical workflow involves clarifying purpose, establishing criteria, designing categories, assigning items, and validating consistency through review and feedback. Iterative refinement helps address overlap, gaps, and changing requirements.

Common applications include organizing library catalogs, tagging digital media, labeling datasets for machine learning, and supporting comparative social research.

Benefits include improved retrieval and interoperability, while risks involve loss of nuance, boundary ambiguity, and potential bias in category design.

Effective use emphasizes transparency, inclusive criterion setting, and governance to mitigate bias.

See also: categorization, taxonomy, labeling, clustering, ontology.