UO Text and Social Media Analytics
Course Level Undergraduate
                                                            Area/Catalogue
                                                            
INFS 3089
                                                        
                                                            Course Level
                                                            
Undergraduate
                                                        
                                                            Study Method
                                                            
100% online
                                                        
                                                            Course ID
                                                            
171434
                                                        
                                                            Unit Value
                                                            
4.5
                                                        
                                                            UniSA Online Elective Course
                                                            
Yes
                                                    
                                                            Duration
                                                            
10 weeks
                                                        
                                                            Fees
                                                            
View fees for this course
                                                        
Course aim
To explore and apply text and social media analytic methods and tools.
Course content
Topics covered in this course include: principles of text analytics, information retrieval; acquiring data from social media; content analysis, sentiment analysis; using text analytics methods; and analysing social media-sourced text data to address a business question.
Textbooks
Nil
Prerequisites
| Subject Area & Catalogue Number | Course Name | 
|---|---|
| 
                                        Group 2
                                             Additionally, students must have completed the following course:  | 
                                |
| INFT 2067 | UO Data Acquisition and Wrangling | 
| 
                                        Group 1
                                             Students must have completed one of the following courses:  | 
                                |
| INFS 3081 | UO Predictive Analytics | 
| INFS 3076 | Predictive and Descriptive Analytics | 
Corequisite(s)
Nil
Teaching Method
| Component | Duration | ||
|---|---|---|---|
| EXTERNAL, ONLINE ACTIVITY | |||
| Online | 10 weeks x N/A | ||
Note: These components may or may not be scheduled in every study period. Please refer to the timetable for further details.
Assessment
Project, Report
Fees
                    EFTSL*: 0.125
                    Commonwealth Supported program (Band 2)
                    To determine the fee for this course as part of a Commonwealth Supported program, go to:
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Fee-paying program for domestic and international students
International students and students undertaking this course as part of a postgraduate fee paying program must refer to the relevant program home page to determine the cost for undertaking this course.
Non-award enrolment
Non-award tuition fees are set by the university. To determine the cost of this course, go to:
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Not all courses are available on all of the above bases, and students must check to ensure that they are permitted to enrol in a particular course.
* Equivalent Full Time Study Load. Please note all EFTSL values are published and calculated at ten decimal places. Values are displayed to three decimal places for ease of interpretation