CrisisTS: Coupling Social Media Textual Data and Meteorological Time Series for Urgency Classification

Romain Meunier, Farah Benamara, Véronique Moriceau, Zhongzheng Qiao, Savitha Ramasamy. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2025.

Authors

Savitha Ramasamy (ORCID: https://orcid.org/0000-0003-1534-2989)
Zhongzheng Qiao (ORCID: https://orcid.org/0009-0007-3170-7075)
Véronique Moriceau (ORCID: https://orcid.org/0000-0001-9641-0714)
R. Meunier
Farah Benamara (ORCID: https://orcid.org/0000-0002-0685-1864)

Publication Details

Published: 2025-01-01
DOI: https://doi.org/10.18653/v1/2025.acl-long.783
Primary Topic: Public Relations and Crisis Communication
Type: article
Field-Weighted Citation Impact: 0.00

Funders

National Research Foundation

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article

CrisisTS: Coupling Social Media Textual Data and Meteorological Time Series for Urgency Classification

Savitha Ramasamy, Zhongzheng Qiao, Véronique Moriceau, R. Meunier et al.

Jan 1, 2025

Public Relations and Crisis Communication

article

CrisisTS: Coupling Social Media Textual Data and Meteorological Time Series for Urgency Classification

Savitha Ramasamy, Zhongzheng Qiao, Véronique Moriceau, R. Meunier, Farah Benamara

January 1, 2025article en

Abstract

National Research Foundation

Climate action

Openalex Percentile: Top 77%

Public Relations and Crisis Communication

DOI Open Access PDF OpenAlex

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CrisisTS: Coupling Social Media Textual Data and Meteorological Time Series for Urgency Classification — Savitha Ramasamy, Zhongzheng Qiao, et al. · (2025) | TGRS Research Map | TGRS