Automated Classification
Automated classification is a process in which computer algorithms categorize data into predefined groups without human intervention. This technique is widely used in various fields, such as machine learning, natural language processing, and image recognition. By analyzing patterns and features in the data, these algorithms can efficiently sort large volumes of information.
The primary goal of automated classification is to improve efficiency and accuracy in data handling. For example, in email filtering, algorithms can automatically classify messages as spam or important. This technology helps organizations manage information more effectively, saving time and resources while enhancing decision-making processes.