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ActiveTigger

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Facts from ActiveTigger's own pages

Classification
Users can fine-tune and evaluate a BERT classifier, then apply it to the corpus. · activetigger.com, 14 Nov 2026
Codebooks
Users can define annotation schemes and guidelines for categories. · activetigger.com, 14 Nov 2026
Collaboration
Multiple annotators can work in parallel and compare results; active learning can select the next example. · activetigger.com, 14 Nov 2026
Corpus exploration
Users can browse texts, search by keywords, visualize the corpus as a 2D projection, and run topic models. · activetigger.com, 14 Nov 2026
Data types
The product handles text and images. · activetigger.com, 14 Nov 2026
Exports
Users can download annotations, predictions, fine-tuned models, and project summaries in open formats. · activetigger.com, 14 Nov 2026
Installation
The source code is described as Python/React and ships with a Docker setup. · activetigger.com, 14 Nov 2026
Maker
ActiveTigger is developed by the CSS@IP-Paris team at the CREST research unit, with support from OuestWare. · activetigger.com, 14 Nov 2026
Privacy and deployment
The open-source product can be run on a user's own infrastructure for sensitive data. · activetigger.com, 14 Nov 2026
Purpose
ActiveTigger is an open-source web tool for collaborative corpus annotation and classification, designed for computational social scientists. · activetigger.com, 14 Nov 2026
Python client
The at-cli-client wraps the API for scripts and notebooks. · activetigger.com, 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. · activetigger.com, 14 Nov 2026
Support
The site directs users to Discord, the issue tracker, or email for questions and feedback. · activetigger.com, 14 Nov 2026
Test access
A test instance is hosted at CREST, and researchers can request an account. · activetigger.com, 14 Nov 2026

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