View on GitHub

NLP-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

Fine-grained Emotion Detection is the task of detecting one or multiple emotion of a given text.

EmoNoBa: A Dataset for Analyzing Fine-Grained Emotions on Noisy Bangla Texts is a dataset which contains 22,698 instances with each labeled with one or atmost all 6 emotions. The dataset is available here. The models are evaluated based on Macro Average F1-score.

Model	F1-score	Paper / Source	Code
W1 + W2 + W3+ W4 + C1 + C2 + C3	42.81	EmoNoBa: A Dataset for Analyzing Fine-Grained Emotions on Noisy Bangla Texts	Official