Data Labeling
Last reviewed by Moderation API
Data labeling is the process of annotating raw content with the correct categories so it can be used to train or evaluate a classifier. Reliable labeling depends on clear guidelines, well-trained annotators, and measuring inter-annotator agreement to catch ambiguous or inconsistent cases.
