Text Classification Problem

Text classification, the task of automatically assigning predefined categories to text data, is a core problem in natural language processing with applications ranging from spam detection to e-commerce safety. Current research focuses on improving model accuracy and efficiency, exploring architectures like BERT and graph convolutional networks, and addressing challenges such as adversarial attacks and imbalanced datasets. Furthermore, investigations into privacy concerns, particularly through machine unlearning techniques, are gaining prominence, highlighting the ethical and societal implications of this widely used technology.