👉 Extractive computing is a type of information retrieval technique that involves selecting and extracting key pieces of information directly from a larger body of text, rather than generating new content or summaries. It operates by identifying and isolating important sentences, phrases, or segments that best represent the main ideas or key points of the original document. This process is often used in applications like news article summarization, question answering systems, and legal document analysis, where the goal is to provide concise, accurate summaries or answers based on the original text. Unlike abstractive methods that generate new text, extractive computing relies on the existing content to produce its outputs, making it simpler and more interpretable while still capturing the essence of the source material.
