AIML428 (2024) - Text Mining and Natural Language Processing

Prescription

This course focuses on text mining and natural language processing. It covers a variety of topics including text representation, document classification and clustering, opinion mining, information retrieval, recommender systems, query expansion, and information extraction.

Course learning objectives

Students who pass this course should be able to:

1. Achieve an understanding of the basic problems and basic principles in a variety of related research areas such as text classification and information retrieval.(BE 3(f) BSc 1 & 2, Bsc in AI 1)
2. Achieve practical experience of building text classification systems.(BE 3(a) 3(b), BSc 1&2, BSc in AI 3)
3. Develop skills at reading, understanding, and giving presentations on papers from the research literature. (BE 2(b), BSc in AI 1)
4. Develop skills for further research, including academic writing (BE 2(b), BSc in AI 1)

Course content

We’ve designed this course for in-person study, and to get the most of out it we strongly recommend you attend lectures on campus. Most assessment items, as well as tutorials/seminars/labs/workshops will only be available in person. Any exceptions for in-person attendance for assessment will be looked at on a case-by-case basis in exceptional circumstances, e.g., through disability services or by approval by the course coordinator.
 
If you started your programme of study remotely and can only study remotely, please contact the School so we can help and confirm what courses are available.

Withdrawal from Course

Withdrawal dates and process:
https://www.wgtn.ac.nz/students/study/course-additions-withdrawals

Lecturers

Teaching Format

This course will be offered in-person.
 
There are two lectures per week plus associate assignments and projects.

Dates (trimester, teaching & break dates)

• Teaching: 26 February 2024 - 31 May 2024
• Break: 01 April 2024 - 14 April 2024
• Study period: 03 June 2024 - 06 June 2024
• Exam period: 07 June 2024 - 22 June 2024

Set Texts and Recommended Readings

Required

There are no required texts for this offering.

Mandatory Course Requirements

There are no mandatory course requirements for this course.

If you believe that exceptional circumstances may prevent you from meeting the mandatory course requirements, contact the Course Coordinator for advice as soon as possible.

Assessment

Assessment Item	Due Date or Test Date	CLO(s)	Percentage
Oral presentation (6 mins, 10 hours to prepare)	Sign up	CLO: 1,3	15%
Peer review of oral presentations	Week 2, 4, 6, 8, 10, 12	CLO: 1,3	5%
Paper review (10 hours)	Week 10	CLO: 3,4	15%
Project (baseline code, full code, demonstration, report) (30 hours)	Week 4, 6, 8	CLO: 2,4	30%
Test	Assessment period	CLO: 1,2,3	35%

Penalties

Any assignment submitted after the deadline will be penalised by 20% per day of the full assignment marks. Individual extensions will only be granted in exceptional personal circumstances. We have a late days policy to cover minor problems.
 
LATE DAYS POLICY: Each student will have three "late days" which you may choose to use for any assignment or assignments during the course. There will be no penalty applied for these late days. You do not need to apply for these, instead any late days you have left will be automatically applied to assignments that you submit late.

Extensions

Individual extensions will only be granted in exceptional personal circumstances, and should be negotiated with the course coordinator before the deadline whenever possible. Documentation (eg, medical certificate) may be requested.

Submission & Return

All work is submitted through the ECS submission system, accessible through the course web pages. Marks and comments will be returned using our online assessment system.

Workload

In order to maintain satisfactory progress in AIML 428, you should plan to spend an average of 10 hours per week on this paper. A plausible and approximate breakdown for these hours would be:

• Lectures: 2
• Readings: 2
• Assignments: 6

Teaching Plan

See: https://ecs.wgtn.ac.nz/Courses/AIML428_2024T1/

Communication of Additional Information

All online material for this course can be accessed at https://ecs.wgtn.ac.nz/Courses/AIML428_2024T1/

Links to General Course Information

• Academic Integrity and Plagiarism: https://www.wgtn.ac.nz/students/study/exams/academic-integrity
• Academic Progress: https://www.wgtn.ac.nz/students/study/progress/academic-progess (including restrictions and non-engagement)
• Dates and deadlines: https://www.wgtn.ac.nz/students/study/dates
• Grades: https://www.wgtn.ac.nz/students/study/progress/grades
• Special passes: Refer to the Assessment Handbook, at https://www.wgtn.ac.nz/documents/policy/staff-policy/assessment-handbook.pdf
• Statutes and policies, e.g. Student Conduct Statute: https://www.wgtn.ac.nz/about/governance/strategy
• Student support: https://www.wgtn.ac.nz/students/support
• Students with disabilities: https://www.wgtn.ac.nz/st_services/disability/
• Student Charter: https://www.wgtn.ac.nz/learning-teaching/learning-partnerships/student-charter
• Student Feedback on University courses may be found at: http://www.cad.vuw.ac.nz/feedback/feedback_display.php
• Terms and Conditions: https://www.wgtn.ac.nz/study/apply-enrol/terms-conditions/student-contract
• Turnitin: http://www.cad.vuw.ac.nz/wiki/index.php/Turnitin
• University structure: https://www.wgtn.ac.nz/about/governance/structure
• The Use of Te Reo Māori for Assessment Policy:
  Victoria University values te reo Māori. Students who wish to submit any of their assessments in te reo Māori must refer to The Use of Te Reo Māori for Assessment Policy
  He mea nui te reo Māori ki te Whare Wānanga o te Ūpoko o te Ika. Ki te pīrangi koe ki te tuhituhi i ō aro matawai i roto i te reo Māori, tēnā me mātua whakapā atu ki te kaupapa here, The Use of Te Reo Māori for Assessment Policy
• VUWSA: http://www.vuwsa.org.nz

Offering CRN: 33070

Points: 15
Prerequisites: 60 300-level pts;
Corequisites: AIML 420 or COMP 307;
Restrictions: COMP 423
Duration: 26 February 2024 - 23 June 2024
Starts: Trimester 1
Campus: Kelburn