Summarization techniques are methods used to condense large amounts of information into shorter, more digestible forms. These techniques can be broadly categorized into two types: extractive and abstractive. Extractive summarization involves selecting key sentences or phrases directly from the original text, while abstractive summarization generates new sentences that capture the main ideas, often rephrasing the content. These techniques are widely used in various fields, including natural language processing and machine learning, to improve information retrieval and comprehension. They help users quickly grasp essential points in documents, articles, or reports, making it easier to process large volumes of information efficiently.