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https://www.um.edu.mt/library/oar/handle/123456789/60793| Title: | Literary studies goes big data |
| Other Titles: | #Nodes : entangling sciences and humanities |
| Authors: | Aquilina, Mario |
| Keywords: | Data mining Humanities |
| Issue Date: | 2019 |
| Publisher: | Intellect, The University of Chicago Press |
| Citation: | Aquilina, M. (2019). Literary studies goes gig data. In G. A. Schwartz and V. Bermudez, (Eds.), #Nodes: entangling sciences and humanities (pp. 438-441). Chicago: Intellect, The University of Chicago Press. |
| Abstract: | Steve Lohr describes Data-ism as 'the age of big data [that] is coming of age and that is 'making it suddenly possible to see more and learn faster' through the development and application of computational methods of analysis. Within this context, literary studies, which has traditionally been a staple of the humanities, finds itself interspersed with approaches whose operating principles are founded on the methods and aspirations of the more science-orient digital humanities. |
| URI: | https://www.um.edu.mt/library/oar/handle/123456789/60793 |
| Appears in Collections: | Scholarly Works - FacArtEng |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Big Data article in Nodes.pdf Restricted Access | 1.16 MB | Adobe PDF | View/Open Request a copy |
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