Twitter Speaks: A Case of National Disaster Situational Awareness
In recent years, we have been faced with a series of natural disasters causing a tremendous amount of financial, environmental, and human losses. The unpredictable nature of natural disasters' behavior makes it hard to have a comprehensive situational awareness (SA) to support disaster management. Using opinion surveys is a traditional approach to analyze public concerns during natural disasters; however, this approach is limited, expensive, and time-consuming. Luckily the advent of social media has provided scholars with an alternative means of analyzing public concerns. Social media enable users (people) to freely communicate their opinions and disperse information regarding current events including natural disasters. This research emphasizes the value of social media analysis and proposes an analytical framework: Twitter Situational Awareness (TwiSA). This framework uses text mining methods including sentiment analysis and topic modeling to create a better SA for disaster preparedness, response, and recovery. TwiSA has also effectively deployed on a large number of tweets and tracks the negative concerns of people during the 2015 South Carolina flood.
Code (0)
등록된 구현이 없습니다.
Tasks
ManagementSentiment AnalysisSimilar Papers 제목 키워드 기반
Natural Disaster Analysis using Satellite Imagery and Social-Media Data for Emergency Response Situations
Disaster Management is one of the most promising research areas because of its significant economic, environmental and social repercussions. This research focuses on analyzing different types of data (pre and post satell…
ManagementKeyphrase Extraction from Disaster-related Tweets
While keyphrase extraction has received considerable attention in recent years, relatively few studies exist on extracting keyphrases from social media platforms such as Twitter, and even fewer for extracting disaster-re…
Keyphrase ExtractionPOSWord EmbeddingsMultimodal Semi-supervised Learning for Disaster Tweet Classification
During natural disasters, people often use social media platforms, such as Twitter, to post information about casualties and damage produced by disasters. This information can help relief authorities gain situational a…
ClassificationSemi-supervised Discovery of Informative Tweets During the Emerging Disasters
The first objective towards the effective use of microblogging services such as Twitter for situational awareness during the emerging disasters is discovery of the disaster-related postings. Given the wide range of possi…
ClassificationClusteringGeneral ClassificationLeveraging Social Media Data and Artificial Intelligence for Improving Earthquake Response Efforts
The integration of social media and artificial intelligence (AI) into disaster management, particularly for earthquake response, represents a profound evolution in emergency management practices. In the digital age, real…
Disaster ResponseManagement