EQSA: Earthquake Situational Analytics from Social Media
October 20, 2019 Β· Declared Dead Β· π IEEE Conference on Visual Analytics Science and Technology
"No code URL or promise found in abstract"
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Authors
Huyen N. Nguyen, Tommy Dang
arXiv ID
1910.08881
Category
cs.IR: Information Retrieval
Cross-listed
cs.SI
Citations
14
Venue
IEEE Conference on Visual Analytics Science and Technology
Last Checked
4 months ago
Abstract
This paper introduces EQSA, an interactive exploratory tool for earthquake situational analytics using social media. EQSA is designed to support users to characterize the condition across the area around the earthquake zone, regarding related events, resources to be allocated, and responses from the community. On the general level, changes in the volume of messages from chosen categories are presented, assisting users in conveying a general idea of the condition. More in-depth analysis is provided with topic evolution, community visualization, and location representation. EQSA is developed with intuitive, interactive features and multiple linked views, visualizing social media data, and supporting users to gain a comprehensive insight into the situation. In this paper, we present the application of EQSA with the VAST Challenge 2019: Mini-Challenge 3 (MC3) dataset.
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