Transformer models for text-based emotion detection: a review of BERT-based approaches

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A Comprehensive Survey on Applications of Transformers for Deep Learning Tasks (2023, methodology): “(Acheampong et al., 2021) Natural language ProcessingNLP • Survey different transformer architectures that accomplish the emotion detection task.”
A review of ensemble learning and data augmentation models for class imbalanced problems: combination, implementation and evaluation (2023, background): “In the case of CI datasets, these models o ff er several advantages [348] since they can extract nuanced features and contextual information from the data, enabling better discrimination between minority and majority classes.”
A survey on sentiment analysis methods, applications, and challenges (2022, background): “2021), Transformer models for text-based emotion detection (Acheampong et al. 2021), impact of coronavirus(singh2021sentiment).”
Text aware Emotional Text-to-speech with BERT (2022, background): “In recent years, several model architectures[12, 13, 14, 21, 22] have been proposed for text emotion modeling.”
GPT is an effective tool for multilingual psychological text analysis (2024, background): “Recently, researchers have also started using large - language models (LLMs), or neural networks with many parameters that are based on the transformer architecture and trained on massive amounts of text data (38) for psychological text analysis (39).”