Information Discovery: New Version 4.11 is available!

averbis information discovery text mining

information discovery averbisInformation Discovery is a next-generation text analytics platform that allows you to gain insights into your unstructured data and explore key information in the most flexible way possible. Information Discovery collects and analyzes all kind of documents such as patents, research literature, databases, websites and company- internal repositories.

In recent months, Averbis has published versions 4.9 to 4.11 with a variety of improvements and extensions within a very short time. Highlights include the new modules of Terminology Editor for the maintenance of terminology and Annotation Editor for visualization of text mining results, as well as the horizontal scalability of text mining pipelines for a variety of big data scenarios.

Here are the most important innovations in versions 4.9 to 4.11 at a glance:

  • With the newly developed Terminology Editor, terminology can now be edited directly in Information Discovery and seamlessly integrated in text mining pipelines.
  • Text analysis pipelines can now be distributed horizontally on any number of machines. The distribution can be fully controlled via the graphical administration within Information Discovery.
  • The new Annotation Editor lets you graphically visualize and edit text analysis results.
  • The Evaluations Workbench allows the comparison of different text mining pipelines regarding precision, recall, F1, and standard deviation.
Dr. Philipp Daumke
Dr. Philipp Daumke
Dr. Philipp Daumke as managing partner is responsible for the strategic orientation of Averbis and its activities in the healthcare sector. As a trained physician, he has been working on artificial intelligence and text mining in the healthcare sector for over 20 years and is passionately committed to how these technologies can improve the lives of patients. His long commercial and scientific experience is reflected in numerous lectures, publications and awards.

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