Citation map · Study

SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

Robust Classification of Crisis-Related Data on Social Networks Using Convolutional Neural Networks

3 references·16 citing·48 second hop

FromToDepth

this work references cited by second hop

References

2011Twitter for crisis communication: lessons learned from Japan's tsunami disaster419 cited
2014CrisisLex: A Lexicon for Collecting and Filtering Microblogged Communications in Crises395 cited
2016Twitter as a Lifeline: Human-annotated Twitter Corpora for NLP of Crisis-related Messages239 cited

Cited by

2020Deep learning for misinformation detection on online social networks: a survey and new perspectives290 cited
2022Theoretical Perspectives on Sustainable Supply Chain Management and Digital Transformation: A Literature Review and a Conceptual Framework146 cited
2019Social Media for Disaster Management: Operational Value of the Social Conversation113 cited
2021Twitter for disaster relief through sentiment analysis for COVID-19 and natural hazard crises109 cited
2021HumAID: Human-Annotated Disaster Incidents Data from Twitter with Deep Learning Benchmarks94 cited
2021CrisisBench: Benchmarking Crisis-related Social Media Datasets for Humanitarian Information Processing91 cited
2019Extracting Resource Needs and Availabilities From Microblogs for Aiding Post-Disaster Relief Operations79 cited
2018Processing Social Media Messages in Mass Emergency76 cited
2022Extraction and analysis of natural disaster-related VGI from social media: review, opportunities and challenges71 cited
2018Graph Based Semi-Supervised Learning with Convolution Neural Networks to Classify Crisis Related Tweets

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

69 cited

2020Understanding the evolutions of public responses using social media: Hurricane Matthew case study65 cited

2022Early detection of emergency events from social media: a new text clustering approach64 cited

2021Review article: Detection of actionable tweets in crisis events47 cited

2021Using social media for sub-event detection during disasters46 cited

2020Classifying informative and non-informative tweets from the twitter by adapting image features during disaster43 cited

2022Classification of crisis-related data on Twitter using a deep learning-based framework39 cited