Using artificial intelligence to identify emergency messages on social media during a natural disaster: A deep learning approach-Reference-Cited by-同舟云学术

Using artificial intelligence to identify emergency messages on social media during a natural disaster: A deep learning approach

Published:2023-04 Issue:1 Volume:3 Page:100164
ISSN:2667-0968
Container-title:International Journal of Information Management Data Insights
language:en
Short-container-title:International Journal of Information Management Data Insights

Author:

Powers Courtney J.^ORCID,Devaraj Ashwin,Ashqeen Kaab,Dontula Aman,Joshi Amit,Shenoy Jayanth,Murthy Dhiraj

Publisher

Elsevier BV

Subject

Library and Information Sciences,Industrial and Manufacturing Engineering,Information Systems and Management,Information Systems,Artificial Intelligence,Management Information Systems

Reference82 articles.

1. Understanding public engagement on Twitter using topic modeling: The 2019 Ridgecrest earthquake case;Ahn;International Journal of Information Management Data Insights,2021

2. Big data and disaster management: A systematic review and agenda for future research;Akter;Annals of Operations Research,2017

3. Deriving disaster-related information from social media;Appling,2014

4. Ashktorab, Z., Brown, C., Nandi, M., & Culotta, A. (2014, May). Tweedr: Mining Twitter to inform disaster response. In ISCRAM. (pp. 269–272).

5. A neural probabilistic language model;Bengio;Journal of Machine Learning Research,2003

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