Hence, the figure confirms that our DM-MCNN approach is able to exploit and customize the provided sentiment weights for the target domain.
unlike the VADER data, our transfer learning approach results in multi-dimensional sentiment embeddings that can more easily capture multiple domains right from the start, thus making it possible to use them even without further fine-tuning.