期刊
2021 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA)
卷 -, 期 -, 页码 6020-6022出版社
IEEE
DOI: 10.1109/BigData52589.2021.9671696
关键词
text analytic tools; variable construction; research portal; organic data; social media
类别
资金
- National Science Foundation [1934925, 1934494]
- Google Cloud Research Credits program [GCP19980904]
- National Collaborative on Gun Violence Research (NCGVR)
- Massive Data Institute (MDI) at Georgetown University
This article discusses how to use text analytic research portals to assist social science researchers in handling large-scale organic data and generating variables for social science research.
Large-scale organic data generated from newspapers, social media, television, and radio require an expertise in infrastructure management, data collection, and data processing in order to gain research value from them. We have developed text analytic research portals to help social science researchers who do not have the resources necessary to collect, store, and process these large-scale data sets. Our portals allow researchers to use an intuitive point and click interface to generate variables from large, dynamic data sets using state of the art text mining and learning methods. These timely variables constructed from noisy text can then be used to advance social science research in areas such as political science, economics, public health, and psychology research.
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