Bi-view semi-supervised active learning for cross-lingual sentiment classification
We combine active and semi-supervised learning for cross-lingual sentiment classification. Density analysis of unlabeled data is used in active learning. We test our proposed model on three different languages. This model reduce manual labelling efforts in cross-lingual sentiment classification. Results show that incorporating density analysis can speed up learning process.
active learning cross-lingual sentiment classification co-training density measure