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Extracting Useful Emergency Information from Social Media: A Method Integrating Machine Learning and Rule-Based Classification

Business

Extracting Useful Emergency Information from Social Media: A Method Integrating Machine Learning and Rule-Based Classification

H. Shen, Y. Ju, et al.

This study introduces an innovative machine learning and rule-based integration method (MRIM) for extracting valuable emergency information from social media content. Conducted by Hongzhou Shen, Yue Ju, and Zhijing Zhu, the research showcases the effectiveness of MRIM over traditional methods during the Zhengzhou rainstorm, providing insightful implications for emergency management.

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Playback language: English
Citation Metrics
Citations
7
Influential Citations
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Reference Count
65
Citation by Year

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

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