Text Summarization

Text Summarization is the process of automatically generating a concise and coherent summary of a longer text while preserving its main ideas and overall meaning. This technique is utilized in various fields, including natural language processing, to aid in information retrieval, content summarization, and data analysis. Text summarization can be broadly classified into two categories: extractive and abstractive summarization.Extractive summarization involves selecting and extracting key sentences or phrases from the original text, preserving the original wording, whereas abstractive summarization generates new sentences that convey the essential information in a more condensed form, often rephrasing or synthesizing ideas from the text.The goal of text summarization is to provide readers with a quick understanding of the original content without needing to read it in full, making it a valuable tool in managing large volumes of information efficiently.