Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/60793
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dc.contributor.authorAquilina, Mario-
dc.date.accessioned2020-09-28T06:39:19Z-
dc.date.available2020-09-28T06:39:19Z-
dc.date.issued2019-
dc.identifier.citationAquilina, 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.en_GB
dc.identifier.urihttps://www.um.edu.mt/library/oar/handle/123456789/60793-
dc.description.abstractSteve 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.en_GB
dc.language.isoenen_GB
dc.publisherIntellect, The University of Chicago Pressen_GB
dc.rightsinfo:eu-repo/semantics/restrictedAccessen_GB
dc.subjectData miningen_GB
dc.subjectHumanitiesen_GB
dc.titleLiterary studies goes big dataen_GB
dc.title.alternative#Nodes : entangling sciences and humanitiesen_GB
dc.typebookParten_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder.en_GB
dc.description.reviewedpeer-revieweden_GB
Appears in Collections:Scholarly Works - FacArtEng

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