no code implementations • 20 Apr 2023 • Olga Cherednichenko, Fahad Muhammad, Jérôme Darmont, Cécile Favre
The primary objective of CBA is to encourage knowledge sharing and collaboration between the different groups involved in business analysis, as this can lead to a more comprehensive understanding of the data and better decision-making.
no code implementations • 4 Jan 2023 • Abderrazek Azri, Cécile Favre, Nouria Harbi, Jérôme Darmont, Camille Noûs
The proliferation of rumors on social media has become a major concern due to its ability to create a devastating impact.
no code implementations • 11 Oct 2021 • Abderrazek Azri, Cécile Favre, Nouria Harbi, Jérôme Darmont, Camille Noûs
Yet, to the best of our knowledge, exploiting images and sentiments is little investigated. Considering the available multimodal features from microblogs, notably, we propose in this paper an end-to-end model called deepMONITOR that is based on deep neural networks and allows quite accurate automated rumor verification, by utilizing all three characteristics: post textual and image contents, as well as sentiment.
no code implementations • 6 Sep 2021 • Abderrazek Azri, Cécile Favre, Nouria Harbi, Jérôme Darmont, Camille Noûs
Then, we introduce the Multimodal fusiON framework to assess message veracIty in social neTwORks (MONITOR), which exploits all message features (i. e., text, social context, and image features) by supervised machine learning.
no code implementations • 27 Nov 2020 • Pegdwendé Sawadogo, Jérôme Darmont, Fabien Duchateau
This paper presents the way the joint ADBIS, TPDL and EDA 2020 conferences were organized online and the results of the participant survey conducted thereafter.
no code implementations • 20 Jul 2020 • Abderrazek Azri, Cécile Favre, Nouria Harbi, Jérôme Darmont
The extensive use of social media in the diffusion of information has also laid a fertile ground for the spread of rumors, which could significantly affect the credibility of social media.
no code implementations • 1 Aug 2018 • Aybükë Oztürk, Stéphane Lallich, Jérôme Darmont, Sylvie Yona Waksman
The aim of clustering is to discover groups and to identify interesting patterns in datasets.
no code implementations • 5 Jun 2018 • Aybükë Oztürk, Stéphane Lallich, Jérôme Darmont
Fuzzy clustering is a particular method that considers that a data point can belong to more than one cluster.