The article discusses a method to classify text data using a one-class classifier when only positive examples are labeled. The researchers propose using a one-class naive Bayes classifier and evaluating the clustering quality of the classification on the data. By using quality scores, they found that their approach generally achieves high accuracy in classifying text data, sometimes improving accuracy by more than 10% compared to other methods.