However, to the best of our knowledge, DADT 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; while kern et al.