Auto-classification
Auto-classification is the process of automatically categorizing or tagging data based on its content, using machine learning algorithms. This process involves training a model on a set of labeled data, and then using that model to predict the appropriate category for new, unlabeled data. Auto-classification can be used in a variety of applications, such as document management, content organization, and e-commerce product categorization. It can also be used to identify patterns and trends in large datasets, and to improve search accuracy by grouping similar items together. Auto-classification can save time and resources by reducing the need for manual categorization, and can improve the consistency and accuracy of categorization across large datasets.
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