To visualize the top feature weights learned by the model, we have to map the four weight vectors learned by the model back to the underlying twodimensional sentiment/price space.
we compute the following values: We then select for display the features which are the furthest from the origin (max w 2 $ + w 2 ) and represent the selected n-grams as points in the sentiment/price space to obtain Figure 3.