Details

Project TitleDiscourseDB: A generalizable data infrastructure for discourse data
Track Code2017-035
Short DescriptionThe significance of the data infrastructure proposed here, referred to as DiscourseDB, lies in its ability to map diverse forms of discussion into a common representation, making it easy to apply anal
AbstractThe significance of the data infrastructure proposed here, referred to as DiscourseDB, lies in its ability to map diverse forms of discussion into a common representation, making it easy to apply analytic tools to different types of social interactions across multiple platforms. Hence, computational models can be applied with little change to any data once imported into DiscourseDB. The structure of DiscourseDB is represented in a relational database as an entity-relation model of connected discourse contributions organized in generic, nested discourse containers. https://discoursedb.github.io/
 
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Posted DateDec 14, 2016 3:53 PM

Researcher

Name
Carolyn Rose
Oliver Ferschke

Manager

Name
Cindy Chepanoske