Applied Natural Language Processing (995G5)
Note to prospective students: this content is drawn from our database of current courses and modules. The detail does vary from year to year as our courses are constantly under review and continuously improving, but this information should give you a real flavour of what it is like to study at Sussex.
We’re currently reviewing teaching and assessment of our modules in light of the COVID-19 situation. We’ll publish the latest information as soon as possible.
Applied Natural Language Processing
Module 995G5
Module details for 2024/25.
15 credits
FHEQ Level 7 (Masters)
Module Outline
This module will give you the theory and practice of automatic text processing technologies, which comes under the general heading of Applied Natural Language Processing. An example application of skills learned include assessing whether there is scope for successful deployment of Natural Language Processing technology given a novel scenario in which automatic text analysis could potentially be of value.
Indicative Content
• Document pre-processing.
• Document classification and clustering.
• Information retrieval.
• Language modelling.
• Named entity recognition and information extraction.
Module learning outcomes
Given a novel scenario in which automatic text analysis could potentially be of value, assess whether there is scope for successful deployment of NLP technology.
Act autonomously in planning and implement a system involving generic NLP tools that is suited to a particular problem, selecting approaches that are well-suited to the specific scenario under consideration.
Formulate a clear verifiable hypothesis that forms the basis of an attempt to successfully deploy NLP technology.
Use appropriate experimental methods to reliably determine the effectiveness of an NLP software tool on actual data.
| Type | Timing | Weighting |
|---|---|---|
| Computer Based Exam | Autumn Semester Week 11 | 70.00% |
| Coursework | 30.00% | |
| Coursework components. Weighted as shown below. | ||
| Project | T1 Week 9 | 100.00% |
Timing
Submission deadlines may vary for different types of assignment/groups of students.
Weighting
Coursework components (if listed) total 100% of the overall coursework weighting value.
Please note that the University will use all reasonable endeavours to deliver courses and modules in accordance with the descriptions set out here. However, the University keeps its courses and modules under review with the aim of enhancing quality. Some changes may therefore be made to the form or content of courses or modules shown as part of the normal process of curriculum management.
The University reserves the right to make changes to the contents or methods of delivery of, or to discontinue, merge or combine modules, if such action is reasonably considered necessary by the University. If there are not sufficient student numbers to make a module viable, the University reserves the right to cancel such a module. If the University withdraws or discontinues a module, it will use its reasonable endeavours to provide a suitable alternative module.