Description: A labeling system is a framework for assigning and managing labels to data for better organization and retrieval. This system allows for structured classification of information, facilitating its search and analysis. In the context of data preprocessing, a labeling system helps identify and categorize relevant data before being used in machine learning models. In the realm of Big Data, where massive volumes of information are handled, effective labeling is crucial for extracting meaningful insights. In machine learning, labels are fundamental for training models, as they allow the algorithm to learn from labeled examples. Ultimately, a well-designed labeling system enhances data organization, analysis, and visualization across various technological applications.
