As the number of unique unigrams and bigrams can be very large and we would like to keep our sentiment lexicon rea-  sonably small, we filter entries with small weights.
we found that selecting items with a weight greater than 1e − 6 did not cause any drop in accuracy, while the resulting lexicon is reasonably compact -it contains about 3 million entries.