Multi-model Investigative Exploration of Social Media Data with BOUTIQUE: A Case Study in Public Health
Multi-model Investigative Exploration of Social Media Data with BOUTIQUE: A Case Study in Public Health
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DOI：
10.1109/escience.2019.00030
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发表时间：
2019-05
期刊：
影响因子：
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通讯作者：
Junan Guo;S. Dasgupta;Amarnath Gupta
中科院分区：
文献类型：
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作者：
Junan Guo;S. Dasgupta;Amarnath Gupta
We present our experience with a data science problem in Public Health, where researchers use social media (Twitter) to determine whether the public shows awareness of HIV prevention measures offered by Public Health campaigns. To help the researcher, we develop a investigative exploration system called BOUTIQUE that allows a user to perform a multistep visualization and exploration of data through a dashboard interface. Unique features of BOUTIQUE includes its ability to handle heterogeneous types of data provided by a polystore, and its ability to use computation as part of the investigative exploration process. In this paper, we present the design of the BOUTIQUE middleware and walk through an investigation process for a real-life problem.
