The development of AVOBMAT began in 2017 with the objective of creating a tool that is capable of performing critical and interactive analysis of bibliographic metadata AND texts with data-driven and NLP (Natural Language Processing) methods supported by AI (Artificial Intelligence) techniques in a number of languages.
AVOBMAT is in the final stages of development and will be available in 2021.
Senior Assistant Professor
Research Group on Artificial Intelligence
University of Szeged & Hungarian Academy of Sciences
Project Coordinator
Associate professor
Department of English Studies
University of Szeged
Focus on the interpretation of few, individual documents.
Exploring the great unread: unveiling and analysing repeated patterns, hidden connections, trends, themes and parallels in large quantity of texts.
The combination of close and distant reading.
If you have any questions or want to use AVOBMAT in your project or library, please drop us a message:
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