(remixed from Allie Brosh of Hyperbole and Half; image courtesy of literaturegeek)
Digital developments have made it possible to address new questions of textual analysis and intepretation and to present texts on a platform that is widely acessible.
Synonymous with text mining, textual analytics describes a set of linguistic and statistical techniques that model and structure the information content of textual sources for data analysis, scholarly research, or investigation. Textual analytics uses information gleamed from the text structure to identify patterns and trends.
These repositories are open source and allow you to store, preserve, and manage your digital assets.
Integral for the sharing and exchange of information, these databases can help you display your projects.