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Twitter for disaster relief through sentiment analysis for Covid-19 and natural hazard crises

Bibliographic Data

ID22026037
AuthorsShivam Behl (0000-0001-9346-3511, Thapar Institute of Engineering & Technology), Aman Rao (0000-0001-5736-7020, Thapar Institute of Engineering & Technology), Sahil Aggarwal (0000-0002-1887-7519, Thapar Institute of Engineering & Technology), Sakshi Chadha (Thapar Institute of Engineering & Technology), Husanbir Singh Pannu (0000-0002-8375-5235, Thapar Institute of Engineering & Technology, corresponding author)
Year2021
Volume55
Pages102101
Publication date2021-03-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Disaster Risk Reduction (JOURNAL)
Journal identifiersISSN: 2212-4209
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.ijdrr.2021.102101
OpenAlexW3126965705
LanguageEN
Citations received21
References cited16

Artificial neural network · Data mining · Data science · Emergency management · Geography · Hazard · Machine learning · Multilayer perceptron · Natural disaster · Operations research · Sentiment analysis · Social media · World Wide Web · Computer Science · Engineering · Misinformation and Its Impacts · Public Relations and Crisis Communication · Sentiment Analysis and Opinion Mining · Artificial Intelligence

  • Covid-19 Public Opinion

    Open Access•Shweta Agrawal, Sanjiv Jain et al.•International Journal of…•2022

  • Predicting Covid-19 exposure risk perception using machine learning

    Open Access•Nan Zou Bakkeli•BMC Public Health•2023

  • Sentiment Analysis for Disaster Risk Management Using Data from the Pakistan Citizen Portal

    Open Access•Bilal Ilyas, A Sharifi•International Journal of Disaster…•2026

  • Topical and emotional expressions regarding extreme weather disasters on social media

    Open Access•Ziqiang Han, Mengfan Shen et al.•Humanities and Social Sciences…•2022

  • Parenting in the aftermath of the 2024 Kiteezi Landfill disaster in Uganda

    Open Access•Mahadih Kyambade, Afulah Namatovu et al.•SN Social Sciences•2025

  • Legal and ethical considerations for demand-driven data collection and AI-based analysis in flood response

    Open Access•Carolin Gilga, Christoph Hochwarter et al.•International Journal of Disaster…•2025

  • Extracting information from reddit for emergency management - A case study on British Columbia wildfire

    Open Access•Alireza Arvandi, Ahmed Al Marouf et al.•International Journal of Disaster…•2025

  • A systematic review of social media-based sentiment analysis in disaster risk management

    Open Access•Bilal Ilyas, A Sharifi•International Journal of Disaster…•2025

  • Establishment of epidemic early warning index system and optimization of infectious disease model

    Open Access•Li Xiong, Peiyang Hu et al.•International Journal of Disaster…•2021

  • Research status and evolution trends of emergency information resource management

    Open Access•Quan Cheng, Shuangbao Zhang•International Journal of Disaster…•2023

  • Multi-modal mining of crowd-sourced data

    Open Access•Sadegh Khanmohammadi, Emad Golafshani et al.•International Journal of Disaster…•2023

  • Sentiment-topic dynamic collaborative analysis-based public opinion mapping in aviation disaster management

    Open Access•Jingqi Dai, Ye Zhao et al.•International Journal of Disaster…•2024

  • Explainable artificial intelligence in disaster risk management

    Open Access•Saman Ghaffarian, Firouzeh Taghikhah et al.•International Journal of Disaster…•2023

  • Press media impact of the Cumbre Vieja volcano activity in the island of La Palma (Canary Islands)

    Open Access•J Navarro, Jesus Urias Piña et al.•International Journal of Disaster…•2023

  • Spatial evolution patterns of public panic on Chinese social networks amidst the Covid-19 pandemic

    Open Access•Yixin Yang, Yingying Zhang et al.•International Journal of Disaster…•2022

  • Time series sentiment analysis (SA) of relief operations using social media (SM) platform for efficient resource management

    Open Access•Gurman Bhullar, Aseem Khullar et al.•International Journal of Disaster…•2022

  • Hashtags, Protests, and Polycrisis

    James Ndone, Nathan Carpenter•International Journal of…•2026

  • Determining Impact Scores of Tweets in Turkish at Disaster Times

    Oke Ozek, Ayca Kumluca Topalli•Natural Hazards Review•2026

  • Longitudinal analysis of Covid-19 vaccine-related tweets in india

    Open Access•Seba Susan, Anmol Bansal et al.•Social Network Analysis and Mining•2025

  • Generalizing sentiment analysis

    Open Access•Khaled Alahmadi, Sultan Alharbi et al.•Social Network Analysis and Mining•2025

  • Understanding twitter in crisis

    Open Access•Zekiye Tamer, Gulay Demir et al.•Environment Development and…•2025

  • Understanding communication dynamics on Twitter during natural disasters

    Open Access•Nastaran Pourebrahim, Selima Sultana et al.•International Journal of Disaster…•2019

  • A geographic approach for combining social media and authoritative data towards identifying useful information for disaster management

    João Porto De Albuquerque, Benjamin Herfort et al.•International Journal of…•2015

  • A big data-driven dynamic estimation model of relief supplies demand in urban flood disaster

    Open Access•Anqi Lin, Hao Wu et al.•International Journal of Disaster…•2020

  • Determining disaster severity through social media analysis

    Open Access•Nayomi Kankanamge, Tan Yigitcanlar et al.•International Journal of Disaster…•2020

  • The social role of social media

    Open Access•Mayank Yadav, Zillur Rahman•Social Network Analysis and Mining•2016

Unique citing works21
Citations per year4.2
Citation span2021 - 2026 (6)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 21

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