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2017/18 Undergraduate Module Catalogue

COMP3776 Data Mining and Text Analytics

10 creditsClass Size: 35

Module manager: Dr Eric Atwell
Email: e.s.atwell@leeds.ac.uk

Taught: Semester 2 (Jan to Jun) View Timetable

Year running 2017/18

Pre-requisite qualifications

COMP 1551 Core Programming
Or
COMP 2245 Programming Computers

Pre-requisites

COMP1551	Core Programming
COMP2245	Programming Computers

This module is mutually exclusive with

COMP5840M

Data Mining and Text Analytics

This module is not approved as a discovery module

Objectives

On completion of this module, students should be able to:
- understand theory and terminology of empirical modelling of natural language;
- understand and use algorithms, resources and techniques for implementing and evaluating data mining and text analytics systems;
- demonstrate familiarity with some of the main text mining and text analytics application areas;
- appreciate why unrestricted natural language processing is still a major research task.

Syllabus

Introduction to data and text theory and terminology. Tools and techniques for data-mining and text processing, focusing on applied and corpus-based problems such as data classification by Machine Learning classifiers, collocation and co-occurrence discovery and text analytics. Open-source and commercial text mining and text analytics toolkits. Web-based text analytics.

Case studies of current commercial applications in text mining, Beyond English, Arabic data, machine translation, information retrieval, information extraction, text classification. Current research in text analytics at Leeds University

Teaching methods

Delivery type	Number	Length hours	Student hours
Lectures	20	1.00	20.00
Class tests, exams and assessment	1	2.00	2.00
Private study hours			78.00
Total Contact hours			22.00
Total hours (100hr per 10 credits)			100.00

Private study

Taught session preparation: 20 hours
Taught session follow-up: 20 hours
Self-directed study: 15 hours
assessment activities: 23 hours

Opportunities for Formative Feedback

Attendance and formative assessment, and in lecture interaction.

Methods of assessment

Coursework

Assessment type	Notes	% of formal assessment
Assignment	Departmental	10.00
Assignment	Departmental	10.00
Assignment	Departmental	20.00
Total percentage (Assessment Coursework)		40.00

This module is re-assessed by exam only.

Exams

Exam type	Exam duration	% of formal assessment
Open Book exam	2 hr 00 mins	60.00
Total percentage (Assessment Exams)		60.00

This module is re-assessed by exam only.

Reading list

The reading list is available from the Library website

Last updated: 26/04/2017

Disclaimer

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