Summarizing strategies is adopted in almost every area of studies or industry. Students who are learning how to summarize, improve their memory abilities, and become more skilful in the process. They also learn to ignore irrelevant information that is present in the text, and students with these skills are capable of integrating the central ideas in a meaningful way from any theory or conceptual write-up. Summarizing helps students to learn the technique of taking out the most important ideas from a text. How Students Get Benefited From Summarizing? An example of summarizing is to write a three to four sentence description that covers all the main points of a story or poem. Summarizing is considered as a process of taking information from a comparatively longer chapter, theory, or write-up and creating a smaller version of it that covers all the facts and main points of the original version. However, overall, summarization systems have been found to be effective in reducing the amount of text that readers need to read to get an understanding of the main points of a document. The effectiveness of a summarization system depends on several factors, such as the type of text, the summarization algorithm used, and the user's preferences. Abstraction-based summarizers extract sentences that are representative of some selected portion of the full text, while extraction-based summarizers identify a set of key sentences that are most relevant to the topic of the document. Summarization systems can be categorized based on whether they produce their summaries by extracting or abstracting information from the full texts. Some automatic summarization systems use a language model to capture the meaning of sentences and a grammatical model to ensure that they are syntactically correct there are also hybrid approaches that combine both language models and grammar models.Ī trend in recent research has been towards using natural language processing (NLP) techniques for automated summarization of text in order to capture both the meaning and the style of the original document. Some automatic summarization systems produce summaries that are grammatically correct, while others tend to produce fragments of the original texts with some inserted sentences to help convey the main points. Other systems use abstracts, key sentences or other summary-like structures when the full text is not available. Some systems for automatic summarization use full text in order to identify important sentences. The application of summarization systems is extensive, such as: helping the reader to get a quick understanding of an article, saving time for analysts and researchers in their information-gathering process, reducing the amount of written text that students need to read and understand (in educational contexts), and even increasing efficiency and productivity in business settings. A summarization system should give the reader most of the information present in the original document while also ensuring that no information has been lost during condensation. Summarization is a process of automatically condensing and rewriting a large chunk of text to create a small, crisp summary.
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