1. A non-transitory apparatus for verifying training data using machine learning, comprising: a training data separation unit for separating provided initial training data into N pieces of training data and N pieces of verification data, where N is a natural number; a machine learning unit for performing machine learning on the separated training data to generate a training model; an automatic tagging unit for automatically tagging an original text of the verification data using the generated training model to provide automatic tagging results; and an error determination unit for comparing initial tagging results of the verification data with the automatic tagging results to determine error candidates of the training data.