👉 Header computing is a process used in natural language processing (NLP) and information retrieval to structure and organize textual data by assigning specific keywords or phrases, known as headers, to documents or passages. These headers serve as metadata that helps in categorizing and retrieving information more efficiently, especially within large datasets. By identifying and extracting these relevant keywords, header computing enhances the ability to index, search, and summarize content, making it easier to manage and access information across various platforms. This technique is particularly useful in applications like search engines, document classification systems, and content management tools, where precise categorization and retrieval of information are crucial.
