In our model, legislator embeddings interact with embedding representations of Donald Trump himself, constructed from a neural network using the text (and timing) of his tweets during the same time frame.
our model leverages the text feature extraction capabilities of neural networks and incorporates the legislator sentiment in tweets about Trump as well as the strategic decision about whether and when to tweet about him.