DIGI405-22S1 (C) Semester One 2022

Texts, Discourses and Data: the Humanities and Data Science

15 points

Details:
Start Date: Monday, 21 February 2022
End Date: Sunday, 26 June 2022
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 6 March 2022
  • Without academic penalty (including no fee refund): Sunday, 15 May 2022

Description

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.

Learning Outcomes

  • By the end of the course, students will be able to:
  • Apply exploratory data analysis methods relevant to the humanities to a corpus of texts
  • Preprocess text data in a range of ways and provide appropriate justification for these in their analyses
  • Explain the social and cultural contexts of data analysis and interpretation practices and their implications
  • Identify ethical and political dimensions to discourse analysis and text mining methods.

Prerequisites

Subject to approval of the Programme Coordinator.

Timetable 2022

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Monday 12:00 - 13:00 Jack Erskine 111
21 Feb - 10 Apr
2 May - 5 Jun
Computer Lab A
Activity Day Time Location Weeks
01 Thursday 16:00 - 18:00 Rehua 008 Computer Lab
21 Feb - 10 Apr
2 May - 5 Jun
Drop in Class A
Activity Day Time Location Weeks
01 Tuesday 16:00 - 17:00 Ernest Rutherford 225
14 Mar - 10 Apr
2 May - 15 May

Timetable Note

Please note: Attendance at 'Drop in Class A' is optional.

Course Coordinator

Christopher Thomson

Assessment

Assessment Due Date Percentage  Description
Course participation 10%
Lab exercises 20% 4 exercises worth 5% each
Corpus building project 15%
Corpus analysis assignment 25%
Final examination 30%

Indicative Fees

Domestic fee $969.00

* 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.

For further information see Humanities and Creative Arts .

All DIGI405 Occurrences