While previous work building PMI lexica have been based on rather small sets of tweets, the present work is based on over 100 million tweets, while still being highly efficient.
from Table 8, we can clearly identify all of the top 10 positive lexicon entries as actual positive phrases and the top 10 negative as negative phrases.