Data intelligibility

The MiiL platform specialized in the intelligibility of the data coming from social networks, archives and the digital world in general. 

The intelligibility of multimodal data is thought of at MiiL from collection to interpretation through data labeling. 

• At the collection level, the objective is to achieve representativeness of the communities studied (see the OpenCorpusCollection project) 
• At the labeling level, our principle is to combine qualitative and quantitative methods (see the Covid-19 project) 
• At the interpretation level, our mission is to cross the intelgibility of texts with that of images and sounds (see the Mudimo project)