Tweet Classification

Tweet classification focuses on automatically assigning categories or topics to tweets, enabling efficient organization and analysis of vast amounts of social media data. Current research emphasizes improving accuracy and efficiency, particularly with limited labeled data, using techniques like fine-tuning pre-trained language models (e.g., BERT, RoBERTa, Sentence Transformers) and exploring multi-modal approaches incorporating user context and hashtags. This field is crucial for various applications, including digital epidemiology, sentiment analysis, and understanding public opinion on diverse topics, offering valuable insights for both researchers and practitioners.