To foster research into COVID-19 virus, we make the COVID-19 Open Research Dataset created by the Allen Institute for Artificial Intelligence available in a simplified, beta version of the AVOBMAT (Analysis and Visualization of Bibliographic Metadata and Texts) research tool. The database consists of more than 63000 articles which can be text mined and analysed with the AVOBMAT toolkit. We hope that we can help researchers explore this database in new ways and support the fight against the new coronavirus. When a new version of the COVID-19 database is released, we shall upload it to the platform.
AVOBMAT was primarily designed for digital humanities research. Libraries and research databases at scale can be integrated into AVOBMAT. In the COVID-19 version of AVOBMAT the upload, different preprocessing functions and lexical diversity analysis are not available. We plan to release AVOBMAT in February 2021. It has not been tested by the public. Please note that AVOBMAT is hosted on a virtual machine with basic parameters.
Before first using AVOBMAT, you might want to have a look at our “Help” page to get familiarized with the main functions of the toolkit.
Here is the link to access our help page and the COVID-19 AVOBMAT research tool:
If you have any questions or want to use AVOBMAT in your project or library, please drop a line to email@example.com. If you intend to receive updates about the development and release of AVOBMAT, please subscribe to our e-mail list here:
If you have any questions or want to use AVOBMAT in your project or library, please drop us a message:
If you would like to be notified about the development and release of AVOBMAT, sign up below: