Kaggle emotion dataset. Emotions can range from happiness and excitement to anger, sadness, and more. Emotion-Labeled Audio and Transcriptions for Emotion Recognition and Synthesis Emotions are conscious mental reactions Something went wrong and this page crashed! If the issue persists, it's likely a problem on our side. The model was trained on a Kaggle facial emotion dataset to classify expressions such as happy, sad, and angry. The Emotion Dataset is subject to its license on Kaggle. The application detects faces, extracts the region of interest, and displays the predicted emotion above the user in real time. The dataset is sourced from Kaggle. A dataset containing tweets exhibiting six different emotions Something went wrong and this page crashed! If the issue persists, it's likely a problem on our side. It contains a diverse collection of text samples, each labeled with the corresponding emotion it conveys. Inspiration Dataset helps the community to develop emotion classification models with NLP based approach. Over-sampling As the dataset is imbalanced, with some emotions having more examples than others, we have used over-sampling techniques with the imblearn library to balance the dataset and improve the performance of the models. ajatht rnkjdl myoyfb ahlrb dpc aaoffl qmw jvpp pnnft sqr