Information extraction is a process in the field of natural language processing that involves automatically retrieving structured information from unstructured text. This can include identifying specific data points, such as names, dates, and locations, and organizing them into a more usable format, like a database or spreadsheet. The goal of information extraction is to make it easier to analyze large volumes of text by converting it into a structured form. This technique is widely used in various applications, including search engines, data mining, and content analysis, helping users quickly find relevant information.