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Module Detailed Information for [CS5246]
Academic Year : 2018/2019 Semester : 2
Correct as at 21 Feb 2019 05:00

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Module Information
Module Code :
Module Title : Text Mining
Module Description : Text mining concerns the processing of unstructured natural language text to mine information and knowledge. It is distinguished from data mining in its focus on unstructured text rather than structured data present in traditional databases. Topics include text classification, text clustering, sentiment analysis, text summarization, information extraction (named entity recognition, relation and event extraction), and question answering. The module will emphasize the use of machine learning approaches to text mining.
Module Examinable : -
Exam Date : No Exam Date.
Modular Credits : 4
Pre-requisite : CS2103 and (MA1101R or MA1311 or MA1506 or MA1508E) and (ST1232 or ST2131 or ST2334)
Preclusion : Nil
Module Workload (A-B-C-D-E)* : 2-0-0-5-3
Remarks : Nil
* A: no. of lecture hours per week
B: no. of tutorial hours per week
C: no. of laboratory hours per week
D: no. of hours for projects, assignments, fieldwork etc per week
E: no. of hours for preparatory work by a student per week

Lecture Time Table
Class TypeWeek TypeWeek DayStartEndRoom

Tutorial Time Table
Attention: The tutorial timetables could be updated from time to time. Students are advised to check regularly for the latest update on the change of tutorial timing.
No Tutorial Class or to be announced. Please check with the department offering this module.

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