With the basic emotions (happiness, sadness, fear, anger, disgust and surprise) accepted as the state-of-the-art, existing emotion corpora and other language resources that serve as the basis for building and evaluating mechanisms to detect emotion in tweets are only annotated with those basic categories.
automatic emotion detectors developed using these resources are only able to give us a limited picture of human emotion expressions.