The WebDeb Project

WebDeb allows you to see at a glance the arguments of a debate and the positions taken by individuals and organisations. On WebDeb you can consult the links between arguments, texts and their authors or even make your own contribution to the database.

Description of the projet

WebDeb aims to archive the arguments used in all kinds of debates, be they political, media, scientific, informal...about a wide variety of topics: the death penalty, the welcoming of migrants, human cloning, technology in schools, gardening, cinema...

These are arguments that are put forth by a diverse range of individuals or organisations which represent a variety of styles of public discourse, writing, interviews, web site content or by those individuals or organisations that report these arguments.

WebDeb est une plateforme développée par Namur Digital Institute (NADI) de l'Université de Namur ainsi que par le Groupe interdisciplinaire de Recherche sur la Socialisation, l'Education et la Formation (GIRSEF) et le Centre de traitement automatique du langage (CENTAL) de l'UCLouvain.


WebDeb offers anyone who wishes to participate the possibility of contributing to the database, after signing up for free, by entering their own actors, arguments and texts.

Use cases

The platform is currently designed for the general public, schools and universities. Teachers can subscribe to the platform and manage their classroom activities: building an argument, cutting the sentence into parts of speech, text analysis ... Want to know more? Do not hesitate to contact us!

Project Progress

We are currently testing a prototype with round fifty students from a secondary school. This prototype allows users to encode any type of contribution and visualize them on various graphical representations. The prototype also allows to create and join groups, creating private environments (for classrooms, for example). The sources are available on bitbucket.

REST Query Interface and Natural Language Processing

We have developed an API to query the database that is accessible as a REST-full web service. For further information, please consult the documentation. Furthermore, we have also developed a Natural Language Processing API to assistin the classification and encoding of contributions. For further information, please consult the documentation.