DIGI223-23S1 (D) Semester One 2023 (Distance)

Text Analytics

15 points

Details:
Start Date: Monday, 20 February 2023
End Date: Sunday, 25 June 2023
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 5 March 2023
  • Without academic penalty (including no fee refund): Sunday, 14 May 2023

Description

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

Text Analytics is about deriving meaning from written documents using computational linguistics. In this course you will learn how to analyze millions of documents from data sets which are too large to read manually. From novels to news articles, speeches to social media, subtitles to product reviews, you will learn how to collect diverse datasets and use them to answer questions from a range of perspectives. Topics include:
     • Text classification
     • Text similarity
     • Data visualization
     • Working with formal corpora (newspapers, novels, legislative proceedings, Wikipedia)
     • Working with informal corpora (social media, subtitles, reviews)

Learning Outcomes

1. Construct applications using text data like news articles and tweets
2. Apply text classifiers to categorize documents by content and author and sentiment
3. Practice using document similarity and topic models to work with large data sets
4. Visualize and interpret text analytics
5. Assess the scientific and ethical foundations of new applications

Prerequisites

15 points at any level from any subject.

Restrictions

Equivalent Courses

Course Coordinator

Jonathan Dunn

Indicative Fees

Domestic fee $821.00

International fee $3,750.00

* 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 DIGI223 Occurrences

  • DIGI223-23S1 (C) Semester One 2023
  • DIGI223-23S1 (D) Semester One 2023 (Distance)
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