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Opinion mining for emergency case risk analysis in spark based distributed system

Published: 03 November 2015 Publication History

Abstract

The 2014 West African Ebola Outbreak rised from Sierra Leone, Guinea, and Liberia at December in 2013 has been reported to cause 21296 cases and 8429 deaths until now. Besides that, Typhoon Haiyan and Typhoon Hagupit are also the serious disaster accidents for emergency management in recnt years. In order to collect and analyze these accidents in more details, we need to design and adopt some new ideas and models. In this paper, we used Spark based Distributed mining system for online opinion data collecting and mining. We crawled related online social media data of Ebola from the most four favorite online social networks (including SINA, TENCENT) in China from June to November in 2014. By analyzing these attained social media data and airline data of GEM model, we found some interesting results. Furthermore, we collected the online social media data of Typhoon Haiyan and Hagupit before and after their landing. And we also showed analysis of combining social network data with geographical demonstration and Chinese citizen sentiment towards these disasters. As a result, we offered some suggestions to the government to handle opinion situation in these disasters.

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Cited By

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  • (2021)Analysis of lockdown perception in the United States during the COVID-19 pandemicThe European Physical Journal Special Topics10.1140/epjs/s11734-021-00265-z231:9(1625-1633)Online publication date: 1-Sep-2021
  • (2020)Sentiment Analysis and Its Applications in Fighting COVID-19 and Infectious Diseases: A Systematic ReviewExpert Systems with Applications10.1016/j.eswa.2020.114155(114155)Online publication date: Oct-2020

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  1. Opinion mining for emergency case risk analysis in spark based distributed system

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      cover image ACM Conferences
      EM-GIS '15: Proceedings of the 1st ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management
      November 2015
      116 pages
      ISBN:9781450339704
      DOI:10.1145/2835596
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Published: 03 November 2015

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      Author Tags

      1. disaster
      2. distributed data mining system
      3. emergency disaster
      4. emergency management
      5. experiments
      6. model
      7. online opinion analysis
      8. risk analysis

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      • (2021)Analysis of lockdown perception in the United States during the COVID-19 pandemicThe European Physical Journal Special Topics10.1140/epjs/s11734-021-00265-z231:9(1625-1633)Online publication date: 1-Sep-2021
      • (2020)Sentiment Analysis and Its Applications in Fighting COVID-19 and Infectious Diseases: A Systematic ReviewExpert Systems with Applications10.1016/j.eswa.2020.114155(114155)Online publication date: Oct-2020

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