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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.
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.
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.
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