Not offered in the current semester · Last offered AY2023/2024 Semester 1
This course covers how to analyse unstructured data such as social media content using text mining techniques. Students will learn various text mining techniques and tools both through lectures and hands-on exercises in labs. The course will also explore various usages of text mining techniques to real world applications.
| AUs | 4.0 AUs |
| Grade Type | |
| Prerequisite | CS2405, CZ4032 (Applicable to DSAI) |
| Not Available To Programme | |
| Not Available To All Programme With | Yr1 |
| Not Available As BDE/UE To Programme | |
| Not Available As Core To Programme | |
| Not Available As PE To Programme | |
| Mutually Exclusive With | |
| Not Offered As BDE | |
| Not Offered As Unrestricted Elective | |
| Exam |
Total hours per week: 3 hrs
Available Indexes
| Mon | Tue | Wed | Thu | Fri | |
|---|---|---|---|---|---|
| 930 | |||||
| 1000 | |||||
| 1030 | |||||
| 1100 | |||||
| 1130 | |||||
| 1200 | |||||
| 1230 | |||||
| 1300 | |||||
| 1330 | |||||
| 1400 | |||||
| 1430 | |||||
| 1500 | |||||
| 1530 | |||||
| 1600 | |||||
| 1630 | |||||
| 1700 | |||||
| 1730 | |||||
| 1800 |
Other offerings
AY22/23
AY21/22
AY20/21
AY19/20
AY18/19