Document classification

Document classification is a critical task in NLP, involving the categorization of textual documents into predefined classes or categories based on their content. This process is essential for organizing, managing, and extracting meaningful information from large volumes of textual data. Applications of document classification are vast and diverse, spanning various industries and domains.

In the field of information retrieval, document classification plays a crucial role in search engines. By categorizing web pages, articles, and documents into relevant topics or genres, search engines can deliver more accurate and targeted search results to users. This enhances the overall user experience and ensures that individuals can quickly access the information they seek.

In customer service and support, document classification enables the automatic routing of customer inquiries and messages to the appropriate departments or teams. For instance, emails received...