NDLI: A Weibo-based approach to disaster informatics: incidents monitor in post-disaster situation via Weibo text negative sentiment analysis

Content Provider	Springer Nature Link
Author	Bai, Hua Yu, Guang
Copyright Year	2016
Abstract	Similar to Twitter, Weibo is a popular Chinese microblogging service that is used to read and write millions of short text messages on any topic within 140-character limit. Users create status messages, which sometimes show opinions about different subjects. Particularly, after a disaster, people always express their states and emotions toward the situation via microblogging service. The previous study works revealed that public negative emotions could be associated with the subsequent incidents. Therefore, once a disaster happens, the crowed negative sentiment among victims needs to be paid more attention, which could be useful to discover the following emergency events such as public fear and crisis. In order to detect potential incidents implicated by victims’ negative emotions in the post-disaster situation, this paper proposes a structured framework including three phases. The first phase focuses on how to identify disaster-related Weibo messages from the massive and noisy microblogging stream, and the second phase is about how to filter negative sentiment messages from all of the disaster-concerned microblogging. We introduced machine learning methods into both of the above phases. In the last phase, we pay attention on crowd negative sentiment, by tracking and predicting victims’ negative emotions changing trend on the base of GM (1, 1) to carry out incidents discovery in a post-disaster situation. By the case study of Ya’an earthquake, we demonstrated that the proposed framework could perform well in incidents monitors such as aftershocks and potential public crisis, which is meaningful and useful to disaster relief process and emergency management in post-disaster situation.
Starting Page	1177
Ending Page	1196
Page Count	20
File Format	PDF
ISSN	0921030X
Journal	Natural Hazards
Volume Number	83
Issue Number	2
e-ISSN	15730840
Language	English
Publisher	Springer Netherlands
Publisher Date	2016-05-30
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Disaster information Sentiment analysis Weibo text Incidents monitor Natural Hazards Hydrogeology Geophysics/Geodesy Geotechnical Engineering & Applied Earth Sciences Civil Engineering Environmental Management
Content Type	Text
Resource Type	Article
Subject	Atmospheric Science Water Science and Technology

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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