LING223-22S1 (D) Semester One 2022 (Distance)

Text Analytics

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 introduces quantitative methods for understanding the vast amount of information and human knowledge that has been stored in the form of language data. This area is also known as computational linguistics or natural language processing.

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 analyse 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.

Prerequisites

15 points at any level from any subject.

Restrictions

Equivalent Courses

Course Coordinator

Jonathan Dunn

Assessment

Assessment Due Date Percentage  Description
Lecture quizzes 10% Weekly.
Forum Discussions 20% Weekly.
Project Paper 1 20% Week 4.
Project Paper 2 25% Week 8.
Project Paper 3 25% Exam Period.

Indicative Fees

Domestic fee $799.00

International fee $3,600.00

* 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 Language, Social and Political Sciences .

All LING223 Occurrences

  • LING223-22S1 (C) Semester One 2022
  • LING223-22S1 (D) Semester One 2022 (Distance)
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