ActiveTigger
The facts below are what the maker publishes about ActiveTigger, checked and dated. Our editors have not written about it yet.
The facts
Each one read from ActiveTigger's own pages, with the date it was checked.
What it does
- Classification
- Users can fine-tune and evaluate a BERT classifier, then apply it to the corpus.checked 14 Nov 2026
- Codebooks
- Users can define annotation schemes and guidelines for categories.checked 14 Nov 2026
- Collaboration
- Multiple annotators can work in parallel and compare results; active learning can select the next example.checked 14 Nov 2026
- Corpus exploration
- Users can browse texts, search by keywords, visualize the corpus as a 2D projection, and run topic models.checked 14 Nov 2026
- Data types
- The product handles text and images.checked 14 Nov 2026
- Exports
- Users can download annotations, predictions, fine-tuned models, and project summaries in open formats.checked 14 Nov 2026
- Installation
- The source code is described as Python/React and ships with a Docker setup.checked 14 Nov 2026
- Privacy and deployment
- The open-source product can be run on a user's own infrastructure for sensitive data.checked 14 Nov 2026
- Purpose
- ActiveTigger is an open-source web tool for collaborative corpus annotation and classification, designed for computational social scientists.checked 14 Nov 2026
- Python client
- The at-cli-client wraps the API for scripts and notebooks.checked 14 Nov 2026
- Scale and language
- The site says it has been tested on corpora of hundreds of thousands of documents and supports multilingual models.checked 14 Nov 2026
- Support
- The site directs users to Discord, the issue tracker, or email for questions and feedback.checked 14 Nov 2026
- Test access
- A test instance is hosted at CREST, and researchers can request an account.checked 14 Nov 2026
The company
- Maker
- ActiveTigger is developed by the CSS@IP-Paris team at the CREST research unit, with support from OuestWare.checked 14 Nov 2026
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