What is the term for the process of generating a concise overview of a larger body of text or multimedia content using AI/ML techniques?

The process of generating a concise overview of a larger body of text or multimedia content using AI and machine learning techniques is known as content summarization. This technique involves analyzing the source material to extract the most important information and present it in a shorter form that retains the essential meaning and context of the original content.

Content summarization can vary in approach, from extractive methods, which select key sentences or segments from the original text, to abstractive methods, which generate new sentences that convey the same ideas in a more concise manner. This capability is particularly useful in numerous applications, such as summarizing articles, reports, or large datasets, enabling users to quickly grasp the core points without wading through extensive information.

Other terms provided, while related to information processing and retrieval, do not specifically refer to the act of condensing content. For instance, data mining focuses on discovering patterns and extracting information from large datasets, while natural language generation pertains to the creation of coherent and contextually relevant text from predefined data or insights. Information retrieval involves finding specific information within a larger dataset or across various sources, rather than summarizing content itself.