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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)
1. 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
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.
DIGI223
Jonathan Dunn
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 .