SIT330 - Natural Language Processing
2023 unit information
Available from 2024
Trimester 1: Burwood (Melbourne), Cloud (online)
Students seeking to undertake this unit as core to their course prior to 2024 will need to seek an approved replacement option from the Course Director.
SIT221 and one of SIT112 or SIT114 or SIT307
Students will on average spend 150 hours over the trimester undertaking the teaching, learning and assessment activities for this unit.
|Scheduled learning activities - campus||
1 x 3-hour active class per week
|Scheduled learning activities - cloud (online)||
Online independent and collaborative learning including optional scheduled activities as detailed in the unit site.
The widespread use of technology has allowed the creation of unlimited quantity of text data because people communicate almost everything in text language: webpages, social media posts, ads, emails, customer service, language translation, virtual agents, medical reports, etc. Thus, the need to exploit this unprecedented quantity of text data is critical for many companies and their business. This has led to the development of Document Processing techniques to extract valuable knowledge from this data, based on fast, effective and scalable information retrieval, text mining, and machine learning algorithms, which are at the heart of this unit focusing on descriptive, predictive, and prescriptive analytics of large-scale text data. In particular, this unit provides students with a deep understanding of the basic theories and techniques used to process large-scale of text document data to understand, search, identify, and extract information from semi-structured text documents. The unit will cover basic technologies for text document analysis, including information retrieval, search and indexing, information extraction, document classification, and natural language understanding.
To be eligible to obtain a pass in this unit, students must meet certain milestones as part of the portfolio.
Unit Fee Information
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