Dynamic summaries extract information of interest to an individual user which helps the user create the type of summary and the depth of summary that best meets the need. For example, a user can choose to receive Executive, Table of Contents, or for the briefest of summaries, keywords. To produce an accurate summary, Document Summarizer takes a document, in any file format, and identifies major document structures such as titles, headers and paragraphs. Associated with this process are several linguistic techniques such as noun phrase identification and term stemming. The paragraphs are then analyzed to identify the most relevant sentences in the document.
Relevance is measured by identifying sentences that contain a high density of information.