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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 Outcomes1. Construct applications using text data like news articles and tweets2. Apply text classifiers to categorize documents by content and author and sentiment3. Practice using document similarity and topic models to work with large data sets4. Visualize and interpret text analytics5. Assess the scientific and ethical foundations of new applications
15 points at any level from any subject.
Students must attend one activity from each section.
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