The results suggest that the PMI-lex was able to leverage the availability of adequate training examples to learn the patterns about emotions such as anger, joy, sadness and love.
given that not all emotions are widely expressed a lexicon generation method that relies heavily on abundant training data could be ineffective to mine less represented emotions.