LING223-20SU2 (D) Summer Nov 2020 start (Distance)

Text Analytics

15 points

Start Date: Monday, 9 November 2020
End Date: Sunday, 13 December 2020
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Friday, 13 November 2020
  • Without academic penalty (including no fee refund): Friday, 27 November 2020

This occurrence is not offered


This course introduces quantitative methods for understanding the vast amount of information and human knowledge that has been stored in the form of text data.

Text Analytics is about deriving meaning from written documents. In this course you will learn how to analyze data from millions of documents - far too many to read them each individually. From novels to news articles, speeches to social media posts, movie subtitles to product reviews, you will learn how to collect diverse datasets and use them to answer questions from a large range of perspectives.

Learning Outcomes

University Graduate Attributes

This course will provide students with an opportunity to develop the Graduate Attributes specified below:

Critically competent in a core academic discipline of their award

Students know and can critically evaluate and, where applicable, apply this knowledge to topics/issues within their majoring subject.

Employable, innovative and enterprising

Students will develop key skills and attributes sought by employers that can be used in a range of applications.

Biculturally competent and confident

Students will be aware of and understand the nature of biculturalism in Aotearoa New Zealand, and its relevance to their area of study and/or their degree.

Engaged with the community

Students will have observed and understood a culture within a community by reflecting on their own performance and experiences within that community.

Globally aware

Students will comprehend the influence of global conditions on their discipline and will be competent in engaging with global and multi-cultural contexts.


15 points at any level from any subject. Recommended preparation: COSC121 or
INFO125 or
equivalent experience


Equivalent Courses

Recommended Preparation

COSC121 or INFO125 or equivalent experience

Course Coordinator

Jonathan Dunn


Assessment Due Date Percentage  Description
Lab tasks 50% Weekly, 5% each.
Project 1 15% Due week 4.
Project 2 15% Due week 8.
Final project. 20% End of semester.

Indicative Fees

Domestic fee $777.00

International fee $3,375.00

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

For further information see Language, Social and Political Sciences.

All LING223 Occurrences

  • LING223-20S1 (C) Semester One 2020 - Not Offered
  • LING223-20SU2 (D) Summer Nov 2020 start (Distance) - Not Offered