Assuming there is no inherent bias in terms of sentiment and vocabulary, one approach would be to repeatedly randomly sample 300 negative words from the corpus and generate a vector of sentiments. You could then average the elements of the vector to get an average sentiment, or use another metric from basic stats. That could decrease the bias.