Search Results for author: Jérôme Darmont

Found 8 papers, 0 papers with code

A Reference Model for Collaborative Business Intelligence Virtual Assistants

no code implementations20 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.

Decision Making

Calling to CNN-LSTM for Rumor Detection: A Deep Multi-channel Model for Message Veracity Classification in Microblogs

no code implementations11 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.

Opinion Mining Sentiment Analysis +1

MONITOR: A Multimodal Fusion Framework to Assess Message Veracity in Social Networks

no code implementations6 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.

BIG-bench Machine Learning Image Quality Assessment

Feedback from the participants of the ADBIS, TPDL and EDA 2020 joint conferences

no code implementations27 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.

Including Images into Message Veracity Assessment in Social Media

no code implementations20 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.

A Visual Quality Index for Fuzzy C-Means

no code implementations5 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.

Clustering Text Categorization

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