Unstructured data, unlike structured data, is not subject to a classification system. Unstructured data can be text, images, graphics, objects, digitized speech or video, or objects whose file types are not supported by databases.
Such unstructured data cannot be indexed and searched for the same terms. Their processing is more difficult than that of structured data. In order to index unstructured data using descriptors, the documents and objects as well as their metadata are scanned and searched for contextual terms, which are then used as descriptors.
As the scope of computers continues to expand, the amount of unstructured data has increased year by year. In recent years, the use of unstructured data in business has led to the need for a processing technology for fast and efficient processing and analysis of unstructured data.