Table 6 shows examples of our predicting-based lexicon and the counting-based lexicon of<cite> Mohammad et al. (2013)</cite> . First, both lexicons can correctly reflect the strength of emotional words (e.g. bad, worse, worst), which demonstrates that our method can learn statistical relevance as effectively as PMI. Second, we find many cases where our lexicon gives the correct polarity (e.g. suitable, lazy) but the lexicon of<cite> Mohammad et al. (2013)</cite> does not.