For future work , we might investigate how machine learning algorithms , which are specifically designed for the problem of domain adaptation ( Blitzer et al. , 2007 ; Jiang and Zhai , 2007 ) , perform in comparison to our approach .
instance weighting for domain adaptation in nlp
Jing Jiang ChengXiang Zhai
The features we employ scale well across domains , given that the opinion target vocabularies are substantially different . For future work , we might investigate how machine learning algorithms , which are specifically designed for the problem of domain adaptation ( Blitzer et al. , 2007 ; Jiang and Zhai , 2007 ) , perform in comparison to our approach . Since three of the features we employed in
For future work , we might investigate how machine learning algorithms , which are specifically designed for the problem of domain adaptation ( Blitzer et al. , 2007 ; @@CITATION ) , perform in comparison to our approach .