SCL based domain adaptation does not yields generous improvements as selecting the pivot features and computing the cooccurrence statistics with noisy short text is arduous and inept.
the proposed algorithm iteratively learns discriminative target specific features from such perplexing data and translates it to an improvement of at least 6.4% and 3.5% over the baseline and the SCL respec- Figure 7: Results comparing the accuracy of the proposed approach with existing techniques for cross domain categorization on the real world dataset.