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.
ArgumenText supports multiple application scenarios, including but not limited to:
- Innovation Management and Mining: Search large text collections for pro and con arguments for any innovation in real-time.
- Technology Assessment: Track or find advantages and risks of emerging technologies relevant to your field.
- Customer Feedback Analysis: Understand why people like or dislike a product or brand based on arguments about it.
ArgumenText is a validation project of the Ubiquitous Knowledge Processing (UKP) Lab at the Technische Universität Darmstadt. We validate the latest research breakthroughs in Argument Mining and Text Analytics in industrial applications. ArgumenText is funded by the Federal Ministry of Education and Research (BMBF) as part of the VIP+ programme.