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Services / Automated Abstractive Text Summarisation

Get the most out of the sea of data you receive every day by using automated abstractive summaries.

Read, shorten, and understand lengthy texts without sacrificing quality. Automated abstractive summaries help you save time and effort in analysing large volumes of text.

Summarise big amounts of information without spending days analysing.

1 The AI/ML algorithm generates a summary of the original document.

Machine learning models are employed. They go through each sentence, understand it, and create a short summary.

2 Our fact-checking algorithm verifies the generated information.

We make sure every summary provides you with rich, actionable, and data-driven insights.

3 You get a bulletproof abstractive summary.

After a successful verification, we send the abstractive summary your way.

Adapt abstractive summaries to your needs.

  • Publishing companies benefit from quick summary creation.
  • Social media listening and monitoring can be made much easier thanks to summarisation of information.

Our award-winning abstractive summarisation model is tuned to understand and describe the core idea of a news article or the essence of business, economic, crime or political events. The technology that we use can be applied to different domains too by simply inputting sample data.

To represent the original document in a shorter, unique text, we utilised different technologies.

The process is optimised by a fact-checking algorithm as a step before delivering the final summary to the client.

Automated resumes in English from over 10 languages.

Whether you need data understood in English or German, our services are available in 11 different languages and cultures.

  • English
  • German
  • French
  • Spanish
  • Bulgarian
  • Italian
  • Chinese /traditional/
  • Portuguese
  • Russian
  • Swedish
  • Dutch
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Understand texts in different languages. Get actionable insights with automated summaries.

Although Machine Learning and AI technologies are getting smarter, there are still some problems when it comes to text summarisation. In some cases, mistakes can happen when retelling the original text by paraphrasing.
Our process is optimised by developing and implementing fact-checking algorithms as a final step before delivering summaries to our clients. Thus ensuring accurate final results.

Ready to try automated summaries?