Text summarization is the process of condensing a text document or a set of texts into a shorter, more concise version that conveys the main points of the original text. The goal of text summarization is to create a condensed version of the text that retains the most important information and conveys the main ideas of the original text as accurately as possible.

There are several approaches to text summarization, including extractive summarization and abstractive summarization. Extractive summarization involves selecting important sentences or phrases from the original text and combining them to create a summary. Abstractive summarization involves generating a summary using a model that understands the meaning of the text and can generate new phrases and sentences that capture the main points of the original text.

Text summarization has a wide range of applications, including:

• News articles: Text summarization can be used to condense long news articles into shorter versions that can be more easily consumed by readers.
• Legal documents: Text summarization can be used to condense complex legal documents into shorter versions that are easier to understand and more accessible to the general public.
• Customer reviews: Text summarization can be used to summarize customer reviews of a product or service, allowing businesses to quickly identify common themes and issues.
• Meeting minutes: Text summarization can be used to condense lengthy meeting minutes into shorter versions that capture the key points and decisions made during the meeting.
• Research papers: Text summarization can be used to condense long research papers into shorter versions that highlight the main points and findings of the research.