About the Project

Organizations have access to huge amounts of text data but harnessing its business potential is still a major challenge. ArgumenText offers the solutions. We use Text Mining, Deep Learning and Big Data Analytics to unleash the potential of unstructured data and to integrate unused assets into decision-making processes.

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Piktogramm Text Mining

Text Mining

State-of-the-art text mining methods add pertinent meaning to unstructured texts.

Piktogramm Deep Learning

Deep Learning

Advanced machine learning techniques ensure high precision in your applications.

Piktogramm Big Data

Big Data

Scalable infrastructures process huge amounts of textual data in record time.

Mac panel with showcase

Argument Search

in Big Data

Our technology allows searching large document collections for arguments. In response to a user-defined topic, neural networks determine relevant pro and con arguments in real-time, and represent them in a concise summary. Decision-relevant information can be found much faster and complex decision-making processes can be significantly improved by exploiting the potential of large text collections. Applied to text streams like news streams or social media, latest trends and innovations can be discovered with ease.

Launch Demo

CD formal

Latest News

Oct 21, 2019 Talk about ArgumenText at the Centre for the Study of Manuscript Cultures at University of Hamburg

ArgumenText's Prof. Iryna Gurevych was invited to the Centre for the Study of Manuscript Cultures (CSMC) at the University of Hamburg to speak on "Connecting the Dots: NLP support for Analyzing Arguments, Evidence and Translations in the Humanities" within the scope of the workshop "Data Linking for Humanities".

Oct 1, 2019 Multiple Talks about ArgumenText by Prof. Iryna Gurevych in Japan

On several occasions throughout September and October, ArgumenText's Prof. Iryna Gurevych had the opportunity to widen the understanding and application of Argument Mining internationally by giving several cooperative talks on "Claim Validation by Humans and Machines" as well as "ArgumenText: Better Decision-Making with Argument Mining".

On September 3rd, she followed the invitation of Prof. Junichi Tsujii, the director of the Artificial Intelligence Research Center (AIRC) in Tokyo. She also cooperated with the Tohoku University in Seindai and its Natural Language Processing Lab (Inui-Suzuki Lab) during September 24th and 25th, as well as the Graduate School of Information Science and Technology on the 27th, located at the University of Tokyo. On October 1st, she gave a keynote speech regarding "Argument Mining (and its Applications in a Multimodal Dialogue System)" at Shonan Seminar #163, held by the prestigious National Institute of Informatics (NII). More details available at Spoken Multimodal Dialogue Systems Technology for Pervasive Computing.

Sep 28, 2019 Better models and personalized dashboard

The ArgumenText search engine has been updated! With a new algorithm to extract arguments, our search engine will be even more powerful in helping you with better decision making. You can access the updated model with our new dashboard, which enables personalized interaction and visualization. Contact us at info@argumentext.de for more information.

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