👉 Summarization computing is a subfield of natural language processing (NLP) focused on generating concise, coherent summaries from longer texts. It involves extracting the most important information and condensing it into a shorter form while preserving the original meaning, context, and key points. This process can be achieved through various techniques, including extractive methods that select the most significant sentences from the source text or abstractive methods that generate new sentences to rephrase the content. Summarization computing is widely used in applications like news aggregation, document analysis, and information retrieval, helping users quickly grasp essential details without reading lengthy documents.
