Collaborative emergency decision-making: A framework for deep learning with social media data

Jindong Qin, Minxuan Li, Xiaojun Wang and Witold Pedrycz

International Journal of Production Economics, 2024, vol. 267, issue C

Abstract: Emergency decision-making (EDM) problems based on social media data have recently attracted considerable attention. However, few studies have considered collaborative EDM based on public opinion and expert knowledge. To improve the effectiveness and interpretability of EDM, we propose a knowledge+opinion driven multi-phase collaborative emergency decision-making model, which combines social media data that represents public opinion with the knowledge and experience of experts. First, a text-mining algorithm extracts the keywords and their weights from the social media data. Then, we define 2-tuple emergency attributes to simplify and quantify the keywords with social media data. Furthermore, a sentiment analysis model based on the XLNet-Att deep learning algorithm is proposed to obtain sentiment polarities for emergencies and provide timely support for government EDM in the future. Moreover, a real-world case concerning the Southern China flood disaster in 2020 is applied to validate our proposed model. We find that for similar emergencies, the focus of public attention have similar characteristics at different periods, and the analysis results show different perspectives of public attention to emergencies at different stages, providing reliable data and experience support for future EDM of similar emergencies. Finally, we conduct a sensitivity analysis to demonstrate the stability of our deep learning model and a comparative study using existing models to verify the effectiveness of our model.

Keywords: Collaborative emergency decision-making; Knowledge-based and opinion-driven; Deep learning; Social media data; Sentiment analysis (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0925527323003043
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:proeco:v:267:y:2024:i:c:s0925527323003043

DOI: 10.1016/j.ijpe.2023.109072

Access Statistics for this article

International Journal of Production Economics is currently edited by Stefan Minner

More articles in International Journal of Production Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().