Text Classification

Text classification is a process that automatically sorts written content into predefined categories based on its meaning or topic. For example, an email filtering system can distinguish between spam and important messages, or social media comments can be grouped by sentiment such as positive, negative, or neutral. It uses algorithms that analyze the words, phrases, and context within the text to determine the most appropriate label. This helps organizations manage large amounts of information efficiently, enabling faster decision-making and better organization of digital content.