Free Information Summarizer

Whether you're writing an academic paper, learning a new skill, or coding on Python, you'll have to find all the necessary information. It's an essential part of education, especially when you're supposed to demonstrate a complete understanding of a specific topic. But how do you check all the crucial info? There is an unimaginable variety of valuable data on the Internet, but the amount of useless stuff is considerable as well. How do you separate all the critical facts from rubbish and research the topic promptly? With our information summarizer, of course!

Still getting ready to study programming or write an argumentative essay without wasting time and electricity on reading nonsense on the Internet? Our tool is certainly for you. To highlight important information, our generator will scan the whole body of text that you paste in the space above. Next, it will determine the keywords and sentences that contain the core meaning. It will combine them in one or a few paragraphs of a short summary. Thus, you are welcome to examine them instead of the original text. That's all, good luck using it!

Below, you will discover different types of summaries and how to visualize the information for your projects.

📊 How to Visualize Information You Summarize

As you can see, you can summarize information with this generator and therefore read and understand it faster. However, will that help you memorize it? How about presenting it in your project? In these cases, you will benefit from learning how to visualize information. Here, we have explained how to do that.

To create a visual summary of essential data, you can use the following instruments:

• Word Clouds

  Word clouds are a simple yet efficient way to visualize the significant parts of written information. These programs scan through a text and locate the most commonly used words. Those are then shown in various sizes, becoming bigger or smaller depending on how often they appear in the article, essay, website, etc. This process also reveals differences between the two given texts.

• Pie charts

  Working with percentages or ratios? There is no better way to display them than a pie chart. This type of data visualization illustrates the relationship between several parts of a whole. That means that the different slices of the pie chart should add up to 100% when taken together.

• Graphs

  There are many variations of graphs that you can use when visualizing your data. They are a convenient way to depict numerical information. From traditional scatter plots to something more unusual, like stream graphs, you can use any of them to present your variables uniquely.

• Area maps

  If you need to portray geographical information, you can always use area maps. By placing different points in selected spaces, you allow the viewers to witness their visual distribution. Besides, it can assist in recognizing patterns and cataloging the density of data. To further improve your area map, you can use points of different sizes and colors.

• Decision trees

  When it comes to this type of data visualization, you can create a tree-like graph that shows different decisions and their consequences. It is great for classification and regression and is employed in many distinct spheres. For example, programmers use decision trees to code in Python, develop machine learning, etc. However, they can be helpful for any student. You can depict the process of reaching your conclusions. Or use decision trees to explain the reasons for your ideas.

• Vien diagrams

  Venn diagrams are composed up of two or more circles crossing in the middle. The central segment demonstrates overlapping information, while the data outside shows differences between the datasets. Venn diagrams can work both with numerical and textual material. As long as there are comparable variables, anything goes!

• Column charts

  Managing all the data collected over the years of research can be troublesome. It is especially true if you write a paper that covers an extended period. To make your job easier, you can use column charts. They are convenient for comparing variables over time.

⭐ Three Types of Information Summary

There are many types and subtypes of summaries that you may need in your studies. Some will be handy when writing abstracts, while some will be necessary when citing a source. That’s why we have combined all the subtypes into three general categories. See them explained in detail below.

• Main ideas summary.

  Ever read a scholarly article or an academic paper? Then, you are familiar with this type. The main ideas summary is primarily concerned with the key facts. It also mentions the fundamental arguments, the title of the piece, and the author. In some instances, it also includes the resources that were used. The main ideas summary introduces the audience to the text they are about to read, providing context and paraphrasing the thesis.

• Essential arguments summary.

  There is one significant difference between the essential arguments summary and the main ideas one. While the latter only mentions the focus of the writing, the former includes the author’s thought process and evidence. In this type, you might use sentences from the text, all the keywords, or even direct quotes. We turn to essential arguments summaries when we feel it is vital to thoroughly explain the writer’s intentions.

• Outline summary.

  The outline summary replicates the structure of the paper that it condenses. Thus, you list all the key ideas, arguments, and counterarguments. They should all appear in the same order as in the text’s outline. This method is effective for response pieces or a close study of the author’s work. Outline summaries are the longest of the three types, sometimes going on for several paragraphs.

To not waste time worrying about the details, we offer you to use our free summarizer bot. It’s a great tool when you need to shorten information as quickly as possible. Best of luck in your studies!

🔗 References

• 19 Innovative Ways to Use Information Visualization Across a Variety of Fields – Visme, Easy WebContent
• Types of Summaries – Writing@CSU, Colorado State University
• Data Visualization: Get Started – InfoGuides at George Mason University