Data Categorization
Data categorization is the process of organizing and classifying data into meaningful groups or categories based on shared characteristics, attributes, or criteria. It involves applying labels or tags to data points to facilitate analysis, retrieval, and management. This concept is fundamental in data science, machine learning, and information systems for structuring unstructured or semi-structured data.
Developers should learn data categorization to improve data handling in applications, such as enhancing search functionality, enabling personalized recommendations, or automating content filtering. It is essential for tasks like natural language processing (e.g., sentiment analysis), database optimization (e.g., indexing), and building scalable systems that require efficient data organization, such as e-commerce platforms or content management systems.