However, to the best of our knowledge, DADT-P obtained the best accuracy for a fully supervised method that uses only unigram features.
kourtis and Stamatatos (2011), who obtained the highest accuracy (65.8%), assumed that all the test texts are given to the classifier at the same time and used this additional information with a semi-supervised method, whereas kern et al.