Text Classification

Text classification is a fundamental task in natural language processing (NLP) that involves assigning predefined categories or labels to text based on its content, enabling machines to understand and organize large volumes of text data. As the amount of unstructured text data continues to grow, text classification has become increasingly relevant in the tech community, with applications in sentiment analysis, spam detection, and information retrieval, making it a crucial technique for developers and data scientists working with text data.