Generating semantic names for a data set is described. An example method can include retrieving data from a data set, the data organized in a plurality of columns. The method may also include generating one or more candidate semantic categories for that column, wherein each of the one or more candidate semantic categories has a corresponding probability for each of the columns. The method may also further include creating a feature vector for each column from the one or more column candidate semantic categories and the corresponding probabilities. Additionally, the method may also include selecting, for each column, a column semantic category from the one or more candidate semantic categories using at least the feature vector and a trained machine learning model.