Previous classical paper <cite>[2]</cite> chose the sentiment classification as the learning target because it could be regarded as a large task as well as a group of related sub-tasks in the different domains. Although these sub-tasks are related to each other but a model only trained on a single subtasks is unable to perform well in the rest sub-tasks.