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.
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.
In December, ArgumenText's Johannes Daxenberger will join a 6-day delegation trip to visit several companies and universities in and around San Francisco, USA. The Company Mission is organized by Hessen Trade & Invest.
ArgumenText's Iryna Gurevych spoke on "Natural Language Processing for Automated Fact-Checking" at the Fake News and Other AI Challenges Conference in Vienna on November 30th. More details at Language Intelligence. In another invited talk, Iryna spoke about "Let's Debate: Natural Language Processing at a Large Scale" at Novartis in Basel on November 26th.
We will present ArgumenText at the 2nd Hessian Innovation Congress in Frankfurt on Thursday November 15th. Looking forward to see you there.