For the two-step model, we also propose an alternative method for determining motion sentiment that infers polarity labels from the relationship to the Government of the speakers who introduce the motions Additionally, we evaluate the use of n-gram textual features and a range of contextual features extracted from metadata related to the speakers.
considering the large overlap between the two sets of labels, for future work or to create larger datasets, manual annotation of these may not be cost-effective.