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Text Analytics for Business (BUSA90543)
Graduate courseworkPoints: 12.5On Campus (Parkville)
To learn more, visit 2023 Course and subject delivery.
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Overview
Availability | May September |
---|---|
Fees | Look up fees |
This component helps students develop an understanding of the key algorithms used in natural language processing and text retrieval, for use in a diverse range of applications including search engines, cross-language information retrieval, machine translation, text mining, question answering, summarisation, and grammar correction. Topics to be covered include text normalisation, sentence boundary detection, part-of-speech tagging, n-gram language modelling, sentiment analysis, web mining and analysis, network analysis (including social network analysis), and text classification.
Intended learning outcomes
On completion of this subject, students should be able to:
- Develop and evaluate computational models of language.
- Articulate issues relevant to the efficient implementation of language processing systems and text retrieval systems.
- Apply natural language processing and information retrieval methodologies to textual data.
Last updated: 31 January 2024
Eligibility and requirements
Prerequisites
Pre-requisite
Code | Name | Teaching period | Credit Points |
---|---|---|---|
BUSA90537 | Coding for Business Problems |
July (On Campus - Parkville)
March (On Campus - Parkville)
|
12.5 |
Corequisites
None
Non-allowed subjects
None
Inherent requirements (core participation requirements)
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
Last updated: 31 January 2024
Assessment
Description | Timing | Percentage |
---|---|---|
Individual Quiz
| Week 3 | 10% |
Syndicate Project 1
| Week 5 | 20% |
Syndicate Project 2
| Week 7 | 20% |
Final Examination
| Week 9 | 50% |
Last updated: 31 January 2024
Dates & times
- May
Mode of delivery On Campus (Parkville) Contact hours Total time commitment 170 hours Teaching period 29 May 2023 to 21 July 2023 Last self-enrol date 8 June 2023 Census date 16 June 2023 Last date to withdraw without fail 7 July 2023 Assessment period ends 28 July 2023 - September
Mode of delivery On Campus (Parkville) Contact hours Total time commitment 170 hours Pre teaching start date 18 September 2023 Pre teaching requirements students are required to complete approximately 15 hours of readings to prepare for the subject during the pre-teaching period Teaching period 25 September 2023 to 1 December 2023 Last self-enrol date 19 September 2023 Census date 6 October 2023 Last date to withdraw without fail 10 November 2023 Assessment period ends 8 December 2023
What do these dates mean
Visit this webpage to find out about these key dates, including how they impact on:
- Your tuition fees, academic transcript and statements.
- And for Commonwealth Supported students, your:
- Student Learning Entitlement. This applies to all students enrolled in a Commonwealth Supported Place (CSP).
Subjects withdrawn after the census date (including up to the ‘last day to withdraw without fail’) count toward the Student Learning Entitlement.
Last updated: 31 January 2024
Further information
- Texts
Prescribed texts
There are no specifically prescribed or recommended texts for this subject.
Last updated: 31 January 2024