Parcourir par Mots clés libres

Feature selection for sentiment classification of COVID-19 tweets: H-TFIDF featuring BERT. Syed Mehtab Alam, Arsevska Elena, Roche Mathieu, Teisseire Maguelonne. 2022. In : Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2022, Volume 5: HEALTHINF. Bier Nathalie (ed.), Fred Ana L. N. (ed.), Gamboa Hugo (ed.). Setúbal : Scitepress, 648-656. ISBN 978-989-758-552-4 International Joint Conference on Biomedical Engineering Systems and Technologies. 15, s.l., 9 Février 2022/11 Février 2022.

Labeled entities from social media data related to avian influenza disease. Schaeffer Camille, Interdonato Roberto, Lancelot Renaud, Roche Mathieu, Teisseire Maguelonne. 2022. Data in Brief, 43:108317, 7 p.

Spatial opinion mining from COVID-19 twitter data. Syed Mehtab Alam, Decoupes Rémy, Arsevska Elena, Roche Mathieu, Teisseire Maguelonne. 2022. International Journal of Infectious Diseases, 116, suppl. : 527. International Meeting on Emerging Diseases and Surveillance (IMED 2021), s.l., 4 Novembre 2021/6 Novembre 2021.

Social network data and epidemiological intelligence: A case study of avian influenza. Schaeffer Camille, Interdonato Roberto, Lancelot Renaud, Roche Mathieu, Teisseire Maguelonne. 2021. . International Society for Infectious Diseases. Brookline : International Society for Infectious Dieases, 1 p International Meeting on Emerging Diseases and Surveillance (IMED 2021). 8, s.l., 4 Novembre 2021/6 Novembre 2021.

A lightweight and multilingual framework for crisis information extraction from Twitter data. Interdonato Roberto, Guillaume Jean-Loup, Doucet Antoine. 2019. Social Network Analysis and Mining, 9:65, 20 p.