Different from the model adaptation based personalized sentiment classification solution proposed in (Al Boni et al., 2015), which treats the global model as fixed, MT-LinAdapt adapts the global model to capture the evolving nature of social norms.
in (Al Boni et al., 2015) the individualized model adaptations are independent from each other; but in MT-LinAdapt, the individual learning tasks are coupled together to enable observation sharing across tasks, i.e., multi-task learning.