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Using Social Media to Mine and Analyze Public Sentiment during a Disaster: A Case Study of the 2018 Shouguang City Flood in China
Research article (ISPRS International Journal of Geo-Information, 2019) · cited 78× · AI/ML
Using Social Media to Mine and Analyze Public Sentiment during a Disaster: A Case Study of the 2018 Shouguang City Flood in China
Summary
Using Social Media to Mine and Analyze Public Sentiment during a Disaster: A Case Study of the 2018 Shouguang City Flood in China is a scholarly article[1].
Key Facts
Using Social Media to Mine and Analyze Public Sentiment during a Disaster: A Case Study of the 2018 Shouguang City Flood in China's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Using Social Media to Mine and Analyze Public Sentiment during a Disaster: A Case Study of the 2018 Shouguang City Flood in China. Retrieved May 24, 2026, from https://4ort.xyz/entity/using-social-media-to-mine-and-analyze-public-sentiment-during-a-disaster-a-case-study-of-the-2018-shouguang-city-flood-
MLA“Using Social Media to Mine and Analyze Public Sentiment during a Disaster: A Case Study of the 2018 Shouguang City Flood in China.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/using-social-media-to-mine-and-analyze-public-sentiment-during-a-disaster-a-case-study-of-the-2018-shouguang-city-flood-.
BibTeX@misc{4ortxyz_using-social-media-to-mine-and-analyze-public-sentiment-during-a-disaster-a-case-study-of-the-2018-shouguang-city-flood-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Using Social Media to Mine and Analyze Public Sentiment during a Disaster: A Case Study of the 2018 Shouguang City Flood in China}}, year = {2026}, url = {https://4ort.xyz/entity/using-social-media-to-mine-and-analyze-public-sentiment-during-a-disaster-a-case-study-of-the-2018-shouguang-city-flood-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Using Social Media to Mine and Analyze Public Sentiment during a Disaster: A Case Study of the 2018 Shouguang City Flood in China — https://4ort.xyz/entity/using-social-media-to-mine-and-analyze-public-sentiment-during-a-disaster-a-case-study-of-the-2018-shouguang-city-flood- (retrieved 2026-05-24)
