Upgrade StorageAnalyse your Zotero collections with the AVOBMAT multilingual text mining tool, no coding required
Dear All,
I’m excited to share that the beta version of AVOBMAT (Analysis and Visualization of Bibliographic Metadata and Text) is now publicly available. AVOBMAT is a user-friendly platform for scalable, multilingual text mining and metadata analysis for teaching and research.
Hosted on GWDG’s cloud infrastructure (Gesellschaft für wissenschaftliche Datenverarbeitung Göttingen), a key technical provider in Germany’s social sciences and humanities research ecosystem. AVOBMAT has been developed in close collaboration with researchers.
Analyse your Zotero collections (CSV and RDF) with AVOBMAT. Note: compatibility with Zotero 7 has not been tested.
EXPLORE it at https://avobmat.hu
Community and webinars:
▪️GWDG will host the first AVOBMAT webinar on 12 November (15.00-16.30, CET). For registration, please visit the event page: https://events.gwdg.de/event/1267/
▪️Read our intro article in the Journal of Open Humanities Data: https://openhumanitiesdata.metajnl.com/articles/10.5334/johd.175
▪️See AVOBMAT-related research projects and publications: https://avobmat.hu/news/
▪️Guidelines and sample databases: https://github.com/avobmat/general
Why AVOBMAT?
▪️No programming skills required
▪️Multilingual preprocessing, analysis, and visualization in 24+ languages
▪️Transparent, reproducible workflows
▪️Scalable — analyse large datasets beyond the reach of commercial LLMs
For whom?
▪️ Teachers and students of Digital Humanities: browser-based, with comprehensive Help (interface overview, step-by-step workflows, configuration settings, glossary, appendices) to support seminar teaching; includes ready-to-use corpora
▪️Non-coding researchers: explore databases interactively using a wide range of analytical tools, customizable features, and optionally publish private datasets
▪️Research groups and labs: coordinate shared databases and methods across projects; ensure reproducibility
▪️Libraries and GLAM units: publish curated collections for in-depth exploration using advanced text analysis tools
Core features include
▪️Supports close and distant reading
▪️Bibliographic metadata analysis and visualization
▪️N-gram viewer; Keyword-in-Context (KWIC); corpus comparison; gender analysis
▪️Topic modelling and Part-of-Speech tagging
▪️Named Entity Recognition with linking and disambiguation
▪️Zotero compatibility; integrated help and glossary
▪️Access to curated corpora (ELTeC novels; DraCor dramas in 15 languages) and sample databases on GitHub
https://lnkd.in/dip-UU4q
Access
▪️Free during the six-month GWDG pilot. See the Terms of Use during sign-up.
We welcome feedback to help refine AVOBMAT in dialogue with the Zotero and DH communities.
Please feel free to share this on social media—thank you!
I’m excited to share that the beta version of AVOBMAT (Analysis and Visualization of Bibliographic Metadata and Text) is now publicly available. AVOBMAT is a user-friendly platform for scalable, multilingual text mining and metadata analysis for teaching and research.
Hosted on GWDG’s cloud infrastructure (Gesellschaft für wissenschaftliche Datenverarbeitung Göttingen), a key technical provider in Germany’s social sciences and humanities research ecosystem. AVOBMAT has been developed in close collaboration with researchers.
Analyse your Zotero collections (CSV and RDF) with AVOBMAT. Note: compatibility with Zotero 7 has not been tested.
EXPLORE it at https://avobmat.hu
Community and webinars:
▪️GWDG will host the first AVOBMAT webinar on 12 November (15.00-16.30, CET). For registration, please visit the event page: https://events.gwdg.de/event/1267/
▪️Read our intro article in the Journal of Open Humanities Data: https://openhumanitiesdata.metajnl.com/articles/10.5334/johd.175
▪️See AVOBMAT-related research projects and publications: https://avobmat.hu/news/
▪️Guidelines and sample databases: https://github.com/avobmat/general
Why AVOBMAT?
▪️No programming skills required
▪️Multilingual preprocessing, analysis, and visualization in 24+ languages
▪️Transparent, reproducible workflows
▪️Scalable — analyse large datasets beyond the reach of commercial LLMs
For whom?
▪️ Teachers and students of Digital Humanities: browser-based, with comprehensive Help (interface overview, step-by-step workflows, configuration settings, glossary, appendices) to support seminar teaching; includes ready-to-use corpora
▪️Non-coding researchers: explore databases interactively using a wide range of analytical tools, customizable features, and optionally publish private datasets
▪️Research groups and labs: coordinate shared databases and methods across projects; ensure reproducibility
▪️Libraries and GLAM units: publish curated collections for in-depth exploration using advanced text analysis tools
Core features include
▪️Supports close and distant reading
▪️Bibliographic metadata analysis and visualization
▪️N-gram viewer; Keyword-in-Context (KWIC); corpus comparison; gender analysis
▪️Topic modelling and Part-of-Speech tagging
▪️Named Entity Recognition with linking and disambiguation
▪️Zotero compatibility; integrated help and glossary
▪️Access to curated corpora (ELTeC novels; DraCor dramas in 15 languages) and sample databases on GitHub
https://lnkd.in/dip-UU4q
Access
▪️Free during the six-month GWDG pilot. See the Terms of Use during sign-up.
We welcome feedback to help refine AVOBMAT in dialogue with the Zotero and DH communities.
Please feel free to share this on social media—thank you!