For example, the tweet "Cadillac Uber airport is classy" obtains a low score of 0.013 with 50% of the seeds, whereas it is identified successfully with the score of 0.588 when all of the seeds are used for propagation because more context features are introduced, such as "airport" and "Uber".
the proposed method achieves better performance as the seed set grows.