Active Tigger
Axel Morin, Émilien Schultz, Annina Claesson, Arnault Chatelain, Emma Bonutti d'Agostini, Julien Boelaert, Etienne Ollion
Publications – Communication
Across social sciences, researchers are increasingly interested in skyrocketing amounts of textual data. Even as computer scientists have developed useful tools for analysing textual data, these often place high demand on technical mastery. Widening access to these research methods requires evidence-based, inclusive and transparent tools. Active Tigger is a software that aims to : - Facilitate collaborative human annotation and exploration of textual datasets - Use AI to carry out text classification and information extraction - Democratise computational social sciences practices for other communities - Create a lightweight, frugal and open source application