Study on disaster information management system compatible with VGI and crowdsourcing-Reference-Cited by-同舟云学术

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Study on disaster information management system compatible with VGI and crowdsourcing

Published:2014-09 Issue: Volume: Page:
ISSN:
Container-title:2014 IEEE Workshop on Advanced Research and Technology in Industry Applications (WARTIA)
language:
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Author:

Liu Qiang,Gao Yuan,Chen Ying

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/6963756/6976172/06976296.pdf?arnumber=6976296

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. NLP and Machine Learning for Sentiment Analysis in COVID-19 Tweets: A Comparative Study;EAI Endorsed Transactions on Pervasive Health and Technology;2024-08-23

2. Applicability Analysis and Ensemble Application of BERT with TF-IDF, TextRank, MMR, and LDA for Topic Classification Based on Flood-Related VGI;ISPRS International Journal of Geo-Information;2023-06-09

3. A Study of Public Attitudes toward Shanghai’s Image under the Influence of COVID-19: Evidence from Comments on Sina Weibo;International Journal of Environmental Research and Public Health;2023-01-27

4. Online public opinion during the first epidemic wave of COVID-19 in China based on Weibo data;Humanities and Social Sciences Communications;2022-05-06

5. The Role of Twitter During the COVID-19 Crisis: A Systematic Literature Review;Acta Informatica Pragensia;2020-12-31

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