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Friday, September 27 • 11:00am - 11:30am
Multi-model Investigative Exploration of Social Media Data with BOUTIQUE: A Case Study in Public Health

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Junan Guo (University of California San Diego), Subhasis Dasgupta (University of California San Diego), and Amarnath Gupta (University of California San Diego)

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 multi-step 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.


Junan Guo

University of California San Diego

Subhasis Dasgupta

University of California San Diego

Amarnath Gupta

University of California San Diego

Friday September 27, 2019 11:00am - 11:30am PDT
Toucan Room