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.
Philipp Daumke
Philipp Daumke
Dr. Philipp Daumke is responsible for the strategic development of the company, product planning and marketing. He received a MD from the University Hospital of Freiburg and as a doctor he is able to incorporate his biomedical expertise into the company. In addition, as a computer scientist and due to his developmental work, he possesses excellent know-how of the Averbis products. Various publications and awards reflect his many years of scientific experience in the field of the analysis of unstructured data.

Jetzt weitere Informationen und Demo anfordern!

kostenlos & unverbindlich

Anwendungsgebiet
HealthcarePatentePharmaAndere

Vorname (Pflichtfeld)

Name (Pflichtfeld)

Jobtitle / Rolle (Pflichtfeld)

Firma (Pflichtfeld)

E-Mail-Adresse (Pflichtfeld)

Telefon

Nachricht


Get more Information or schedule a FREE Demo

Use case
HealthcarePatentsPharmaOthers

First Name (required)

Last Name (required)

Job Title / Role (required)

Company (required)

Email (required)

Phone

Message