TextRWeb: Large-Scale Text Analytics with R on the Web
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Date
2014-07-13
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Abstract
As digital data sources grow in number and size, they pose an opportunity for computational investigation by means of text mining, NLP, and other text analysis techniques. R is a popular and powerful text analytics tool; however, it needs to run in parallel and re- quires special handling to protect copyrighted content against full access (consumption). The HathiTrust Research Center (HTRC) currently has 11 million volumes (books) where 7 million volumes are copyrighted. In this paper we propose HTRC TextRWeb, an interactive R software environment which employs complexity hiding interfaces and automatic code generation to allow large-scale text analytics in a non-consumptive means. For our principal test case of copyrighted data in HathiTrust Digital Library, TextRWeb permits us to code, edit, and submit text analytics methods empowered by a family of interactive web user interfaces. All these methods combine to reveal a new interactive paradigm for large-scale text analytics on the web.
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R, text analysis, interactive, non-consumptive use, parallel computing
Citation
Ruan, G., Zhang, H., Wernert, E., & Plale, B. (2014, July 13). TextRWeb: Large-Scale Text Analytics with R on the Web. Paper presented at XSEDE14, Atlanta, GA. doi:10.1145/2616498.2616557
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