  In this work I propose a new way of using fully convolutional networks for
classification while allowing for input of any size. I additionally propose two
modifications on the idea of attention and the benefits and detriments of using
the modifications. Finally, I show suboptimal results on the ITAmoji 2018 tweet
to emoji task and provide a discussion about why that might be the case as well
as a proposed fix to further improve results.
