Sentiment Analysis Datasets

Sentiment analysis datasets are crucial resources for developing and evaluating models that automatically determine the emotional tone of text. Current research focuses on improving model performance across diverse languages and domains, particularly in low-resource settings, using architectures like transformers and large language models (LLMs), while also addressing challenges like bias detection and robust testing methodologies. The availability of high-quality, diverse datasets is essential for advancing the field and enabling practical applications in areas such as social media monitoring, market research, and customer service.