1 code implementation • 16 Feb 2023 • Tristan Luiggi, Laure Soulier, Vincent Guigue, Siwar Jendoubi, Aurélien Baelde
Named Entity Recognition (NER) is a challenging and widely studied task that involves detecting and typing entities in text.
no code implementations • 11 Jul 2019 • Siwar Jendoubi, Arnaud Martin
We also use an influence maximization model that the set of detected influencers for each scenario.
no code implementations • 30 Jun 2017 • Siwar Jendoubi, Arnaud Martin
Furthermore, the reliability-based influence measure is used with an influence maximization model to select a set of users that are able to maximize the influence in the network.
no code implementations • 26 Jan 2017 • Siwar Jendoubi, Arnaud Martin, Ludovic Liétard, Boutheina Ben Yaghlane, Hend Ben Hadji
In this paper, we are mainly interested in the classification of social messages based on their spreading on online social networks (OSN).
no code implementations • 20 Jan 2017 • Siwar Jendoubi, Arnaud Martin, Ludovic Liétard, Ben Hend, Ben Boutheina
In this paper, we propose two evidential influence maximization models for Twitter social network.
Social and Information Networks
no code implementations • 20 Oct 2016 • Siwar Jendoubi, Arnaud Martin, Ludovic Liétard, Hend Hadji, Boutheina Yaghlane
In this paper, we propose a new data based model for influence maximization in online social networks.
no code implementations • 22 Jan 2015 • Siwar Jendoubi, Boutheina Ben Yaghlane, Arnaud Martin
Speech Recognition searches to predict the spoken words automatically.
no code implementations • 22 Jan 2015 • Siwar Jendoubi, Arnaud Martin, Ludovic Liétard, Boutheina Ben Yaghlane
We tested our classifier on a real word network that we collected from Twitter, and our experiments show the performance of our belief classifier.
no code implementations • 22 Jan 2015 • Jungyeul Park, Mouna Chebbah, Siwar Jendoubi, Arnaud Martin
The probabilistic HMMs have been one of the most used techniques based on the Bayesian model.