Summarizing App: Automatic Text Condenser
How it works
If you are looking for a summarizing app, consider using our text condenser. This online instrument will easily wrap up any text into a short & sweet summary. All you need to do is:
✂️ Summarizing App: Why Using It?
Starting your report or critique with a summary is a great idea. It sets the scene and introduces the reader to your subject matter. However, a really concise summary often turns into a challenge for many, especially first-year students. It’s pretty hard to pick the gist of a lengthy article without missing essential details.
You might spend hours reading the text repeatedly before you come up with a short wrap-up, which wastes time. So, if summarization seems tough to you, it's time to try automated tools out. They offer a quick and handy alternative to manual text processing. This way, you get condensed material in seconds.
What Is Summarizing?
The summarization process involves condensing the content into smaller chunks of text without leaving out the gist. You should say the same in fewer words and sentences. Thus, as a result of summarization, you get a shorter version with no informativity compromises.
How Is Paraphrasing Different from Summarizing?
The essence of paraphrasing is to render the same content in different words. This activity does not presuppose the original text’s cuts. When you summarize the material, you also paraphrase it to a certain degree, but your additional purpose is to condense the text volume, making it shorter and more manageable.
How Long Is a Summary?
Your summary length depends on the original text's volume and your supervisor's requirements. If your object is a short article, sometimes one paragraph may be enough. If you need to summarize a book, you might need several pages to produce an informative wrap-up containing all vital details and points. A rule of thumb is making a summary twice as small as the original version.
How Does a Summarizing App Work?
The summarizer is a free online tool that works as an automated generator of concise, brief, and informative summaries of your provided texts. It’s the best solution for students in a rush with academic tasks and having no time to read the full version of assigned readings.
🤓 4 Tips to Make an Excellent Summary
As a student, you may regularly need to process large texts and translate them into smaller, manageable summaries. Thus, we’ve prepared a set of handy tips to streamline this process and make it simpler for you.
Tip #1: Focus on the Core Data
Any summary's main purpose is to deliver the key ideas to the readers without wasting their time reading the whole piece of text:
- If you read a book summary, you should understand the plot and the story's setting, learn about its main characters, and identify what happened to them.
- When studying an article summary, you should expect to learn the study's purpose, method, participants, and key outcomes.
Tip #2: Brevity Is King
Summaries are meant to save people’s time, so you should naturally keep them as brief as possible:
- Stick to a core set of main ideas and eliminate all redundancy from your wrap-up.
- After writing the summary, revisit your text once more (or even several times) to see what can be removed without quality compromises.
- Cut those pieces out without remorse, as further condensing will improve your summary.
Tip #3: Avoid Evaluations
The purpose of a summary is to communicate the author’s ideas in a shorter form. It doesn’t involve your commentary or evaluation, as this type of work already goes beyond the summarization exercise. Thus, you should avoid sounding evaluative or subjective in the summary, giving space only to the original author’s ideas and data.
Tip #4: Check for Consistency
The text’s coherent flow is a basic requirement of high-quality writing, and summaries are no exception. A big problem with summarization is that it may seem chunky at first. You can improve the text’s coherence and cohesion by adding transitions where needed.
📱 Summary Apps: How Do They Work?
Now let's dig a bit deeper into how summarizing app works. These tools for automatic summarization were invented for the sake of simplifying the manual labor of text shortening. They use natural language processing (NLP) techniques to comprehend and condense texts, leaving only key ideas in them. The recent advances in machine learning technology have given users several approaches to text summarization.
As its name suggests, this summarization approach pulls extracts from the original text, either keywords or full sentences, based on their significance score. The process looks as follows:
- Users assign parameters for keyword extraction (e.g., tags, word sequences of interest, and other patterns labeled as significant).
- The machine gathers the positively labeled pieces of text.
- The extracted sentences are compiled into a summary.
Here is an example of extraction-based summarization in work. An app would underline the following keywords from a fragment from Pride and Prejudice:
Not all that Mrs. Bennet, however, with the assistance of her five daughters, could ask on the subject, was sufficient to draw from her husband any satisfactory description of Mr. Bingley. They attacked him in various ways; with barefaced questions, ingenious suppositions, and distant surmises; but he eluded the skill of them all; and they were at last obliged to accept the second-hand intelligence of their neighbour, Lady Lucas. Her report was highly favourable. Sir William had been delighted with him. He was quite young, wonderfully handsome, extremely agreeable, and, to crown the whole, he meant to be at the next assembly with a large party. Nothing could be more delightful! To be fond of dancing was a certain step towards falling in love; and very lively hopes of Mr. Bingley’s heart were entertained.
The resulting summary would look as follows:
Mrs. Bennet, with assistance of five daughters, ask husband description of Mr. Bingley. They attacked him questions, suppositions, surmises; he eluded skill; they accept intelligence of Lady Lucas. Her report favorable. Sir William delighted. He was young, handsome, agreeable, be at assembly with a party. Delightful! Dancing was step towards love; hopes of Mr. Bingley's heart entertained.
As you can see, the outcome is pretty chunky, but the app coped with the task of removing the redundant stylistic phrasing and communicating the key ideas of the paragraph.
Below are listed the benefits and drawbacks of extractive summarization:
|✅ Benefits||❌ Drawbacks|
So, the extraction-based method is less advanced and nuanced than the abstraction-based alternative we consider next. However, it works more stably and doesn’t change anything in the original text, which is always a slippery slope for machines.
The abstraction-based method is more sophisticated, as it involves human-like text processing and paraphrasing. Thus, the combined effect of keyword use and advanced text processing gives a natural, coherent text in a condensed form, just like a human being would produce.
Below are listed the benefits and drawbacks of abstraction-based summarization:
|✅ Benefits||❌ Drawbacks|
Returning to the fragment from Pride and Prejudice, an abstraction-based tool would present a summary as follows:
Mrs. Bennet, with the help of her five daughters, tried to elicit a description of Mr. Bingley from her husband. They used questions and assumptions to get information, though with no success. So, they had to turn to their neighbor Lady Lucas. She spoke favorably about him, saying he was young, handsome, and agreeable. He also planned to give a party at the next assembly, and Mr. Bingley had many hopes for that.
☝🏽️ How to Choose a Summarization App?
Now that you've grasped the mechanics of automated text summarization and understand how it works, it's time to choose a text summarizer for your academic needs. There are plenty of online offers today, from simple free versions to expensive premium products. So, it would help to focus on the following parameters:
- The option of text upload/download
- The availability of downloading the summary as a file
- The variety of upload/download formats the app supports
- Limitations on the volume of text you can summarize in one go
- Summary volume customization
- Supported languages
- Time required for text processing
- Keyword highlighting option
- Presence of ads on the app’s pages
- Cost of the app’s use