Detecting Multiclass Emotions from Labeled Movie Scripts

Sentiment Analysis in Social Media Data for Depression Detection Using Artificial Intelligence: A Review

“…The multi classes stated by Govin Gaikwad et al [79] were Funny, Happy, None, Sad and Angry. In Jaewoo Kim et al [80], the classes are Anger, Disgust, Fear, Joy and Sadness and in Jayakrishnan et al [82], Happy, Sad, Anger, Fear and Surprise were the multi-classes defined. Nur Maulidich Elfjar et al [87] defined the classes as Happy, Sad, Cry, Exciting and Laugh.…”