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Detection of situational information from Twitter during disaster using deep learning models
16 references·2 citing·39 second hop
Detection of situational information from Twitter during disaster using deep learning models (2020)Detection of situational information from…Natural Language Processing to the Rescue? Extracting "Situational Awareness" Tweets During Mass Emergency (2021)Natural Language Processing t…Use of social media in crisis management: A survey (2020)Use of social media in crisis…Detecting Informative Tweets during Disaster using Deep Neural Networks (2019)Detecting Informative Tweets …Identifying Sub-events and Summarizing Disaster-Related Information from Microblogs (2018)Identifying Sub-events and Su…Graph Based Semi-Supervised Learning with Convolution Neural Networks to Classify Crisis Related Tweets (2018)Graph Based Semi-Supervised L…Extracting and Summarizing Situational Information from the Twitter Social Media during Disasters (2018)Extracting and Summarizing Si…CrisMap: a Big Data Crisis Mapping System Based on Damage Detection and Geoparsing (2018)CrisMap: a Big Data Crisis Ma…Robust Classification of Crisis-Related Data on Social Networks Using Convolutional Neural Networks (2017)Robust Classification of Cris…Twitter as a Lifeline: Human-annotated Twitter Corpora for NLP of Crisis-related Messages (2016)Twitter as a Lifeline: Human-…Processing Social Media Messages in Mass Emergency (2015)Processing Social Media Messa…Extracting Situational Information from Microblogs during Disaster Events (2015)Extracting Situational Inform…A Linguistically-driven Approach to Cross-Event Damage Assessment of Natural Disasters from Social Media Messages (2015)A Linguistically-driven Appro…AIDR (2014)AIDRA Survey of Digital Map Processing Techniques (2014)A Survey of Digital Map Proce…Emergency-relief coordination on social media: Automatically matching resource requests and offers (2013)Emergency-relief coordination…Aid is Out There: Looking for Help from Tweets during a Large Scale Disaster (2013)Aid is Out There: Looking for…Leveraging VOSviewer approach for mapping, visualisation, and interpretation of crisis data for disaster management and decision-making (2024)Leveraging VOSviewer approach…A review of deep learning techniques for disaster management in social media: trends and challenges (2024)A review of deep learning tec…Toward a Theory of Situation Awareness in Dynamic Systems (1995)Disasters by Design: A Reassessment of Natural Hazards in the United States (1999)Microblogging during two natural hazards events (2010)Fifteen years of social media in emergencies: A retrospective review and future directions for crisis Informatics (2017)Detection and Resolution of Rumours in Social Media (2018)Disaster City Digital Twin: A vision for integrating artificial and human intelligence for disaster management (2019)A Comprehensive Grammar of the English Language (1987)Using Social Media to Enhance Emergency Situation Awareness (2012)Big Crisis Data: Social Media in Disasters and Time-Critical Situations (2016)Mitigating information overload in social media during conflicts and crises: design and evaluation of a cross-platform alerting system (2019)The Equivalence of Weighted Kappa and the Intraclass Correlation Coefficient as Measures of Reliability (1973)A comprehensive grammar of the English language . 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(1988)Automated Machine Learning Approaches for Emergency Response and Coordination via Social Media in the Aftermath of a Disaster: A Review (2021)Use of Social Media Data in Disaster Management: A Survey (2021)Twitter for crisis communication: lessons learned from Japan's tsunami disaster (2011)CrisisLex: A Lexicon for Collecting and Filtering Microblogged Communications in Crises (2014)Deep learning for misinformation detection on online social networks: a survey and new perspectives (2020)Theoretical Perspectives on Sustainable Supply Chain Management and Digital Transformation: A Literature Review and a Conceptual Framework (2022)Twitter adoption and use in mass convergence and emergency events (2009)Descriptive and visual summaries of disaster events using artificial intelligence techniques: case studies of Hurricanes Harvey, Irma, and Maria (2019)A Hybrid Machine Learning Pipeline for Automated Mapping of Events and Locations From Social Media in Disasters (2020)Scoping studies: towards a methodological framework (2005)The SAGE Encyclopedia of Qualitative Research Methods (2008)Scoping studies: advancing the methodology (2010)Concerns Expressed by Chinese Social Media Users During the COVID-19 Pandemic: Content Analysis of Sina Weibo Microblogging Data (2020)Teachers' attitudes towards social media (SM) use in online learning amid the COVID-19 pandemic: the effects of SM use by teachers and religious scholars during physical distancing (2021)A Survey of Emergencies Management Systems in Smart Cities (2022)A Coefficient of Agreement for Nominal Scales (1960)Language As Social Semiotic (1978)Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment (2010)Faking Sandy (2013)TweetCred: Real-Time Credibility Assessment of Content on Twitter (2014)Geographic Situational Awareness: Mining Tweets for Disaster Preparedness, Emergency Response, Impact, and Recovery (2015)Social Media for Disaster Management: Operational Value of the Social Conversation (2019)Social media use in disaster recovery: A systematic literature review (2022)Travel mode detection based on GPS track data and Bayesian networks (2015)Social media for intelligent public information and warning in disasters: An interdisciplinary review (2019)Social Media in Crisis Management: An Evaluation and Analysis of Crisis Informatics Research (2018)Applications of artificial intelligence for disaster management (2020)
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References

  • 2015Processing Social Media Messages in Mass Emergency800 cited
  • 2014A Survey of Digital Map Processing Techniques694 cited
  • 2014AIDR471 cited
  • 2021Natural Language Processing to the Rescue? Extracting "Situational Awareness" Tweets During Mass Emergency314 cited
  • 2016Twitter as a Lifeline: Human-annotated Twitter Corpora for NLP of Crisis-related Messages239 cited
  • 2020Use of social media in crisis management: A survey238 cited
  • 2017Robust Classification of Crisis-Related Data on Social Networks Using Convolutional Neural Networks197 cited
  • 2015Extracting Situational Information from Microblogs during Disaster Events172 cited
  • 2013Emergency-relief coordination on social media: Automatically matching resource requests and offers126 cited
  • 2018Extracting and Summarizing Situational Information from the Twitter Social Media during Disasters110 cited
  • 2013Aid is Out There: Looking for Help from Tweets during a Large Scale Disaster90 cited
  • 2018Identifying Sub-events and Summarizing Disaster-Related Information from Microblogs78 cited
  • 2018CrisMap: a Big Data Crisis Mapping System Based on Damage Detection and Geoparsing74 cited
  • 2015A Linguistically-driven Approach to Cross-Event Damage Assessment of Natural Disasters from Social Media Messages74 cited

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  • 2018Graph Based Semi-Supervised Learning with Convolution Neural Networks to Classify Crisis Related Tweets69 cited
  • 2019Detecting Informative Tweets during Disaster using Deep Neural Networks56 cited
  • Cited by

    • 2024A review of deep learning techniques for disaster management in social media: trends and challenges14 cited
    • 2024Leveraging VOSviewer approach for mapping, visualisation, and interpretation of crisis data for disaster management and decision-making12 cited