• Data Analysis for Linguistic, Cultural, and Historical Research (DIGS 20004/30004)

    Author(s):
    Jeffrey Richard Tharsen (see profile)
    Date:
    2019
    Group(s):
    DH2020
    Subject(s):
    Corpora (Linguistics), Culture--Study and teaching
    Item Type:
    Syllabus
    Tag(s):
    Applied Corpus Linguistics, Cultural analytics, Data analysis, Historical Critical Method, Corpus linguistics, Cultural studies, Historical sociolinguistics
    Permanent URL:
    http://dx.doi.org/10.17613/82wf-cf32
    Abstract:
    Data analysis is a rapidly expanding field with broad applicability throughout the hard sciences, social sciences, and the humanities. The ability to use and analyze data effectively in linguistic, cultural, and historical research provides a highly desirable and broadly applicable skill set: in academia, in government, and in the private sector. This course is intended as a theoretical and methodological introduction to a number of the most widely used and effective techniques, strategies and toolkits for textual, qualitative and quantitative data analysis, with a primary focus on those most suited to the analysis of complex data sources. We will also consider how the creation of large digital corpora and the ubiquity of large-scale digital data sources has now changed how scholars engage with the archive, and what opportunities new types of repositories might offer for new computational approaches to the study of literature and history. In addition to evaluating new digital methodologies in the light of traditional approaches to data analysis, students will gain extensive experience in using R to conduct their analyses, and by the end of the course, will have developed their own individual projects, thereby gaining a practical understanding of data analysis workflows and tools and methods for evaluating the results achieved through various data analytical and visualization strategies.
    Metadata:
    Status:
    Published
    Last Updated:
    2 years ago
    License:
    All Rights Reserved
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