a digital toolkit for analysing and visualizing bibliographic metadata and texts
What is AVOBMAT?
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.
The Features of AVOBMAT
Text and data mining large library & research databases
Content analyis
Interactive metadata analysis & visualizations
8 Preprocessing options
Topic modeling, correlations, visualizations
Network analysis
52 available languages
N-gram viewer
Over 100 metadata fields
Individual configuration of all analytical tools
TagSpheres (context of a word)
Metadata enrichment & cleaning
Live Google Drive import
Significant text analysis (comparing corpora)
Automatic language detection
Fast advanced, fuzzy, proximity and commandline searches
Keyword in Context / Concordance
Gender analysis of authors
Reproducibility (import/export)
8 Lexical diversity metrics
What can AVOBMAT offer?
How can it help your research?
- Explore your large digital collections in innovative & interactive ways with customizable preprocessing, analysis & visualization tools
- Discover new insights, unveil overlooked connections, themes, trends & patterns
- Critically analyze & interpret texts, (meta)data & visualizations
- Identify biases and errors in your databases at scale (e.g. selection, metadata, classification) to make more informed decisions about your research (questions)
- Discover novel type of evidence & test old hypotheses
The AVOBMAT Team
Gábor Berend
Senior Assistant Professor
Research Group on Artificial Intelligence
University of Szeged & Hungarian Academy of Sciences
Róbert Péter
Project Coordinator
Associate professor
Department of English Studies
University of Szeged
Close & distant reading
Close reading
Focus on the interpretation of few, individual documents.
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Distant reading
Exploring the great unread: unveiling and analysing repeated patterns, hidden connections, trends, themes and parallels in large quantity of texts.
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AVOBMAT
The combination of close and distant reading.
Big data in the humanities
Get in touch
If you have any questions or want to use AVOBMAT in your project or library, please drop us a message:
Stay in touch
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