As an easy observation, the emotion lexicon generated by the EaLDA model consistently and significantly outperforms the WordNet-Affect emotion lexicon and other three emotion classification systems.
we are able to obtain an overall F1-score of 10.52% for disgust classification task which is difficult to work out using pre-viously proposed methods.