👉 Extract engineering is a process that involves the systematic extraction and selection of relevant, high-quality text segments from larger documents or datasets to create targeted and informative extracts. This technique is widely used in natural language processing (NLP) and information retrieval to distill key insights, arguments, or data points from extensive texts. By leveraging algorithms and linguistic models, extract engineering identifies and isolates sentences, paragraphs, or sections that are most pertinent to a specific research question, topic analysis, or decision-making process. These engineered extracts can then be used for various applications, such as summarization, sentiment analysis, or knowledge base construction, ensuring that the resulting content is concise, accurate, and directly relevant to the user's needs.
