Why is a text summarizer deemed such an important tool in this modern era?

With the rapid technological advancement and an immense amount of content generated every day, it’s hard to stay on top of everything. Especially for those who need to read a lot, a summarizer tool makes it easy to get a gist of a longer text.

With so much information to consume, it’s important that you spend your time and effort on the right content. This article covers how a summarizer tool works and the key benefits of using this tool.

What Is a Text Summarizer?

A text summarizer is an AI-powered tool that summarizes or condenses a long text in one click while preserving the main points. It turns long pieces of content into a concise and consumable form.

The tool analyzes the whole text and picks up the key concepts to help readers quickly understand complex topics.

Why Do You Need to Summarize Texts?

In today’s highly technological world, humans are on a never-ending quest for information. However, with the near-infinite arrays of information available in the modern era, not much is retained due to the sheer volume. But a summarizer tool can make reading something easier without having to spend too much time on it.

As summaries reduce reading time, eliminates irrelevant content, and highlights core information, companies often require their document to be summarized faster. It helps companies ensure that the readers understand their documents and the content is easy to read.

person using a MacBook Pro and typing on the keyboard
Photo by Glenn Carstens-Peters on Unsplash

How Does a Text Summarizer Work?

A text summarizes employs AI algorithms to summarize the text in two different ways. It could be extraction or abstraction-based text summarization to condense a long piece of content.

Extraction-Based Text Summary

The extraction-based summarization is a simple process. It extracts the crucial words and phrases from the original text and combines them to create a meaningful summary.

It doesn’t involve any rephrasing or use of synonyms. The tool simply takes out the key phrases from the source and rearranges them into a different structure.

Abstraction-Based Text Summary

Abstraction-based summarization is a more complex process than extraction-based summarization. It uses Natural Language Processing (NLP) to convert a long text into a shorter one.

The tool takes out important key phrases from the text and rephrases them using appropriate synonyms. The output has a completely different structure but retains the meaning of the original text.

Benefits of Text Summarization

Text summarizer helps you give a quick and simple summary of text without going through the entire content. It allows you to read a longer text or article within a short period of time. Let’s look at some key benefits of using an AI-based tool to summarize the text.

Produces Immediate Results

You no longer need to read the complete document to understand its major points. The summarizing tool operates rapidly and gives you crucial information in a flash.

Improves Productivity

When looking for important information from an article on the internet, it takes a lot of time and effort to pinpoint what you need. Using an AI-based summarizer quickly condenses a long piece of content and increases your productivity.

Saves Time & Helps With Skimming

Text summarizing cuts down on time spent sifting through lengthy documents or articles by using fewer words to express key information. A summarizer tool also helps you quickly scan through a lot of content to find the accurate and brief information you need.

Conclusion

Text summarization uses AI algorithms to produce a shorter and more meaning-rich summary of a text. A text summarizer can produce cutting-edge information for practitioners, journalists, students, and workers.

It helps them understand difficult texts quickly and gain a better understanding of essential documents. This article shed light on the importance of this tool and how it works to make life easier.

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Abir is a data analyst and researcher. Among her interests are artificial intelligence, machine learning, and natural language processing. As a humanitarian and educator, she actively supports women in tech and promotes diversity.

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