By doing so, the weights of words extracted first will be reduced, and those of words extracted later will be increased, avoiding the over-fitting of high-frequency context words with sentiment polarities and the under-fitting of lowfrequency ones.
for the words in s m (x) with misleading effects on the sentiment prediction of x, we want to reduce their effects and thus directly set their expected weights as 0.