Go Emotions
material
ID: goemotions
Related Papers
GoEmotions: A Dataset of Fine-Grained Emotions
AbstractUnderstanding emotion expressed in language has a wide range of applications, from building empathetic chatbots to detecting harmful online behavior. Advancement in this area can be improved using large-scale datasets …...
Seq2Emo: A Sequence to Multi-Label Emotion Classification Model
AbstractMulti-label emotion classification is an important task in NLP and is essential to many applications. In this work, we propose a sequence-to-emotion (Seq2Emo) approach, which implicitly models emotion correlations in …...