What is summarization and how is it useful to a copywriter?
Summarization as a creative tandem of AI and copywriter
Any language we speak can be learned. People have been doing this for a very long time and they are very successful. But computers, unfortunately, still have problems with understanding natural languages, but people are still trying to teach this to computing machines almost since their inception. Around the same time, the NLP (Natural language processing) direction appeared in computer science. It includes quite a lot of serious tasks, and summarization is one of them.
What is summarization?
Let's imagine that someone read the big text we need and then underlined the main information with a pencil. Obviously, it would be more convenient and faster to read such a version. This method of summarization is called extractive. It was the first to appear, so it is not without its disadvantages. You can show the program the highlighted parts of the text and then it will make an abridged version out of them. But the program itself does not understand what is important and what is not. Fortunately, with the development of neural networks there is abstract summarization. The new method works this way: the algorithm takes the source material as the basis, and the output is a brief extract which may contain no words from the material taken as the basis. If you "run" everything written above through this algorithm, the output will be something like this: Summarization or autoreferencing - the algorithm automatically creates a short version of the original text, preserving the original meaning.
Practical application of summarization
Everyone has to deal with large volumes of text in one way or another, so summarization can be useful for everyone. School and university students can quickly extract basic information from the articles, notes and other study materials they need for their studies. It's all much easier to learn and absorb in a concise form. This means that preparing for exams, homework and other types of learning activities will be much easier for pupils and students. For example, anyone can master War and Peace, and the content of the book will be quick and straightforward to digest. Well, or at least get some idea of it, which in itself is useful.
Journalists, SEO specialists, advertisers, and copywriters often work with topics that are new to them. To do this, they first need to study the subject about which they are writing. This takes quite a bit of time and effort. If the subject is complicated, you can "bury yourself" in it for days or even weeks. Instead, they can all turn to a self-learning algorithm to summarize the articles and other sources they need. A short extract of basic information on an issue of interest to the commercial author will be much more useful than thick reference books or lengthy arguments of bloggers and experts.
Where can I try it?
To help with this ReText.AI neural network which knows how to work with the volume of text, adapting to certain requirements.
It is known that each social network has limits on the number of characters. For example, in VKontakte, the length of an ordinary post is up to 15,985 characters with spaces. Telegram's channel description, like its name, holds only 255 characters with spaces; the length of a post is 4096 characters, with media 1024. Everyone who works with one or more social networks at once knows this. Therefore, the author needs to adjust what he or she has written to the limitations dictated by this or that site. You can adapt a large text, not originally created for Telegram, VKontakte or other social networks, by hand. It will take about half an hour or an hour. An experienced author can probably do it much faster, in about 20 minutes. But a text summarization service can change the text almost instantly.
Using the ability of ReText.AI to change the text online, even a novice author can quickly and accurately "brush" all the materials for publication on the site he wants. All you need to do is paste the source text into the editor at ReText.AI and choose how big to cut the text. Next, the neural network will analyze what you've written, and then it will give you a completely finished material.