Text Analytic Research Portals: Supporting Large-Scale Social Science Research
Lisa Singh, Colton Padden, Pamela E. Davis-Kean, Rabin David, Virinche Marwadi, Yiqing Ren, Rebecca Vanarsdall · 2021 IEEE International Conference on Big Data (Big Data) · 2021
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.