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Graph Based Semi-Supervised Learning with Convolution Neural Networks to Classify Crisis Related Tweets
4 references·16 citing·43 second hop
Graph Based Semi-Supervised Learning with Convolution Neural Networks to Classify Crisis Related Tweets (2018)Graph Based Semi-Supervised Learning with…Robust Classification of Crisis-Related Data on Social Networks Using Convolutional Neural Networks (2017)Robust Classification of Cris…Processing Social Media Messages in Mass Emergency: A Survey (2014)Processing Social Media Messa…Integrating Social Media Communications into the Rapid Assessment of Sudden Onset Disasters (2014)Integrating Social Media Comm…Aid is Out There: Looking for Help from Tweets during a Large Scale Disaster (2013)Aid is Out There: Looking for…Surveying the Use of Social Media Data and Natural Language Processing Techniques to Investigate Natural Disasters (2024)Surveying the Use of Social M…SatCoBiLSTM: Self-attention based hybrid deep learning framework for crisis event detection in social media (2024)SatCoBiLSTM: Self-attention b…AI-Empowered Multimodal Hierarchical Graph-Based Learning for Situation Awareness on Enhancing Disaster Responses (2024)AI-Empowered Multimodal Hiera…A social context-aware graph-based multimodal attentive learning framework for disaster content classification during emergencies (2024)A social context-aware graph-…A RoBERTa based model for identifying the multi-modal informative tweets during disaster (2023)A RoBERTa based model for ide…Towards an Interpretable Approach to Classify and Summarize Crisis Events from Microblogs (2022)Towards an Interpretable Appr…Rationale Aware Contrastive Learning Based Approach to Classify and Summarize Crisis-Related Microblogs (2022)Rationale Aware Contrastive L…Classification of crisis-related data on Twitter using a deep learning-based framework (2022)Classification of crisis-rela…A multi-level analytic framework for disaster situational awareness using Twitter data (2022)A multi-level analytic framew…Multi-source Multimodal Data and Deep Learning for Disaster Response: A Systematic Review (2021)Multi-source Multimodal Data …Emergent Use of Artificial Intelligence and Social Media for Disaster Management (2021)Emergent Use of Artificial In…A Neural-Based Approach for Detecting the Situational Information From Twitter During Disaster (2021)A Neural-Based Approach for D…Unsupervised Detection of Sub-Events in Large Scale Disasters (2020)Unsupervised Detection of Sub…Fighting disaster misinformation in Latin America: the #19S Mexican earthquake case study (2020)Fighting disaster misinformat…Detection of situational information from Twitter during disaster using deep learning models (2020)Detection of situational info…Newswire versus Social Media for Disaster Response and Recovery (2019)Newswire versus Social Media …Measuring nominal scale agreement among many raters. 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this work references cited by second hop

References

  • 2017Robust Classification of Crisis-Related Data on Social Networks Using Convolutional Neural Networks197 cited
  • 2014Integrating Social Media Communications into the Rapid Assessment of Sudden Onset Disasters107 cited
  • 2014Processing Social Media Messages in Mass Emergency: A Survey100 cited
  • 2013Aid is Out There: Looking for Help from Tweets during a Large Scale Disaster90 cited

Cited by

  • 2021Multi-source Multimodal Data and Deep Learning for Disaster Response: A Systematic Review60 cited
  • 2020Fighting disaster misinformation in Latin America: the #19S Mexican earthquake case study44 cited
  • 2022Classification of crisis-related data on Twitter using a deep learning-based framework39 cited
  • 2024A social context-aware graph-based multimodal attentive learning framework for disaster content classification during emergencies36 cited
  • 2020Detection of situational information from Twitter during disaster using deep learning models34 cited
  • 2021A Neural-Based Approach for Detecting the Situational Information From Twitter During Disaster33 cited
  • 2024SatCoBiLSTM: Self-attention based hybrid deep learning framework for crisis event detection in social media32 cited
  • 2020Unsupervised Detection of Sub-Events in Large Scale Disasters32 cited
  • 2023A RoBERTa based model for identifying the multi-modal informative tweets during disaster32 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

  • 2022Towards an Interpretable Approach to Classify and Summarize Crisis Events from Microblogs25 cited
  • 2021Emergent Use of Artificial Intelligence and Social Media for Disaster Management18 cited
  • 2022A multi-level analytic framework for disaster situational awareness using Twitter data18 cited
  • 2019Newswire versus Social Media for Disaster Response and Recovery13 cited
  • 2022Rationale Aware Contrastive Learning Based Approach to Classify and Summarize Crisis-Related Microblogs12 cited
  • 2024Surveying the Use of Social Media Data and Natural Language Processing Techniques to Investigate Natural Disasters10 cited
  • 2024AI-Empowered Multimodal Hierarchical Graph-Based Learning for Situation Awareness on Enhancing Disaster Responses7 cited