Кросс-лингвистикалық көңіл-күй классификациясы

Cross-lingual adaptation aims to learn a pre- diction model in a label-scarce target lan- guage by exploiting labeled data from a label- rich source language. An effective cross- lingual adaptation …...

Most of the state-of-the-art sentiment classifi- cation methods are based on supervised learn- ing algorithms which require large amounts of manually labeled data. However, the labeled resources are usually imbalanced …...

Cross-lingual sentiment classification aims to adapt the sentiment resource in a resource-rich language to a resource-poor language. In this study, we propose a representation learning approach which simultaneously learns vector …...