How important is text summarization for the next generation?

What exactly are text summarization services?

With enormous amounts of data available in today’s times, it is sometimes difficult to interpret information. Summarizing such data makes it easy to interpret and saves business time. Thanks to technology, text summarization can also be done with the help of automation. Automatic text summarization allows users to generate a summary of text-based documents without manually reading, analyzing data and then summarizing it.

Automatic text summarization involves analyzing large amounts of text to pick out the most relevant and useful content in it. Automatic text summarization employs machine learning algorithms to summarize text properly. It is a fast process, and can be accurate if the algorithms are trained well with the help of sample datasets.

Text summaries might differ based on the content type. For example, an appropriate summary of an educational textbook would be a guide. Similarly, news can be summarized into headlines or bulletins, a meeting that lasts an hour or longer can be summarized into minutes and film scripts or book manuscripts can be summarized into synopses.

There are various that are based on different techniques. Some such techniques are abstractive text summarization, extractive summarization and multi-document summarization. Data cleansing services help in text summarization, as clean data is easier to analyze for both humans as well as automated software.

Text summarization services and techniques

Most text summarization services are based on two techniques - abstractive text summarization and extractive text summarization. Both techniques of text summarization are different and have their own pros and cons. Multi-document summarization and text summarization online are other techniques that help produce a single summary of multiple documents. Let us have a look at the three text summarization techniques:

Extractive text summarization

Extractive text summarization involves converting extracts of the original text document into short forms and combining them. Sentences and phrases are randomly selected and then combined in extractive text summarization. This technique involves a scientific technique in which different sections of a text document are assigned weight and ordered according to it.

Human intervention helps monitor the progress in extractive text summarization. There are various text summarization techniques, such as graph-theoretic approach, text summarization with neural networks, term frequency-inverse document frequency (TF-IDF), cluster-based, machine learning approach, and summarization with the help of fuzzy logic methods.

Abstractive text summarization

Abstractive text summarization involves gathering the crux of a document to create a useful summary. While extractive summarization utilizes equally proportional segments out of the whole content, abstractive summarization relies on understanding the key elements of the text and putting it into a summary. With the help of experts, you can reduce grammatical errors and create a useful summary.

Advantages of automatic text summarization

Automatic text summarization has several advantages. It is even more beneficial than manual text summarization as it ignores biases and employs machine learning to derive facts.

Removes the language barrier

Machines are highly trained to study and examine all languages. It is easy for such machines to easily translate between languages and come up with a summary. In fact, automatic text summarization can even create summaries from one language to another. You can get an English summary of an entire book fully written in Russian in no time, thanks to automatic text summarization.

In today’s global landscape, a lot of the information needs to be translated from other languages. Texts from Russian, German, French, Spanish, English and all other such languages can be summarized into any other language thanks to automatic text summarization.

Machine studies all aspects without bias

Automatic text summarization does not follow any human bias. It studies all aspects of the text, and prepares a summary on the basis of it. This is one of the biggest advantages of automatic text summarization. Suppose we are analyzing a text that talks about the political history of a particular country or state. Automatic text summarization would study all the aspects and enlist the different aspects, while providing a wholesome summary that includes all the necessary points.

Improves productivity

Automatic text summarization helps improve the productivity of organizations. It helps summarize web pages, offline documents, newspapers, medical reports, fictional scripts, and many other different types of content. The text of all such types of content can be easily summarized and transferred to people in another part of the world. This helps speed up business processes and helps business productivity. This also helps businesses flourish and generate more profits.

Saves time, money, and manpower

Automatic text summarization helps businesses save time and money and utilize their manpower better. Since automatic text summarization is far less time taking than manual text summarization, a lot of struggle is avoided. Manual text summarization involves reading long passages of texts, making notes simultaneously, analyzing the text, and then preparing a summary. On the other hand, automatic text summarization can be done in no time - saving valuable resources such as time and money - and avoiding human intervention unless needed.

Outsourcing automatic text summarization services

You should always outsource automatic text summarization services online to experts that have worked with a variety of clientele and worked on various languages. SunTec.AI offers quality text summarization services and has experience of over two decades, with experienced professionals working round the clock, affordable services, excellent customer service, and a low turnaround time. You can get a free quote by emailing all your requirements to [email protected].