Text classification is a process in which computers analyze and categorize text into predefined groups. This technique is widely used in various applications, such as sorting emails into spam or not spam, organizing news articles by topic, or even identifying the sentiment of social media posts. By using algorithms, machines can learn from examples and improve their accuracy over time. The main goal of text classification is to make it easier to manage and retrieve information. For instance, businesses can use this technology to automatically tag customer feedback, helping them understand trends and improve their products. Overall, text classification streamlines the way we interact with large amounts of text data.