From the figure, it is observed that for each RW methods, the node expansion based representation beats the performance of the tweet representation without any node expansion.
the sentiment polarized node expansion beats the performance of classifiers with and without non-polarized node expansion by an average margin of 9.19% and 10.57%, respectively.