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This course examines computer-aided methods used in digital humanities and the social sciences for analysing discourses, an object of study that draws together multiple ways that language reflects and shapes social meanings. Within this context, it introduces concepts and methods for analysing natural language data and applies these through a series of practical lab classes. The first part of the course focuses on classic discourse analysis methods drawn from corpus linguistics, as well as the essential preprocessing steps used to prepare texts for a range of analytical purposes. In the second part of the course we study topic modeling, a technique for unsupervised, exploratory data analysis that has been widely used in digital humanities, and, finally, consider supervised text classification methods to identify discursive attributes such as sentiment, genre, or style.
By the end of the course, students will be able to:Apply a range of computer-assisted text analysis methods with broad applications, drawing examples from humanities and social sciences.Explain how text analysis results are connected to social, cultural and linguistic factors and contexts.Identify ethical and political dimensions to computer-assisted text analysis methods.
Subject to approval of the Programme Coordinator.
Students must attend one activity from each section.
Domestic fee $1,023.00
International Postgraduate fees
* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.
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