DIGI405-19S2 (C) Semester Two 2019

Texts, Discourses and Data: the Humanities and Data Science

15 points
15 Jul 2019 - 10 Nov 2019

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.

Pre-requisites

By permission of the Programme Coordinator

Timetable 2019

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Monday 12:00 - 14:00 A5 Lecture Theatre (22/7-19/8, 9/9-14/10)
Eng Core 222 Drawing Office 2 (15/7)
Eng Core 223 Drawing Office 1 (15/7)
15 Jul - 25 Aug
9 Sep - 20 Oct
Computer Lab A
Activity Day Time Location Weeks
01 Thursday 13:00 - 15:00 Jack Erskine 248 Computer Lab 15 Jul - 25 Aug
9 Sep - 20 Oct
02 Thursday 09:00 - 11:00 Jack Erskine 001 Computer Lab 15 Jul - 25 Aug
9 Sep - 20 Oct
04 Friday 15:00 - 17:00 Ernest Rutherford 212 Computer Lab 15 Jul - 25 Aug
9 Sep - 20 Oct
Optional A
Activity Day Time Location Weeks
01 Tuesday 16:00 - 17:00 Jack Erskine 445 15 Jul - 25 Aug
9 Sep - 20 Oct

Timetable Note

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

Course Coordinator

Christopher Thomson

Lecturer

Geoffrey Ford

Assessment

Assessment Due Date Percentage  Description
Weekly class participation tasks 10%
Lab exercises 30% X3
Corpus analysis essay 30% 2000 words
Take-home test 30%


This course has no final examination.

Textbooks / Resources

Baker, P. 'Using Corpora in Discourse Analysis'. Bloomsbury, 2006. (Available from UBS).

Indicative Fees

Domestic fee $923.00

* Fees include New Zealand GST and do not include any programme level discount or additional course related expenses.

For further information see Humanities and Creative Arts.

All DIGI405 Occurrences