Applied Natural Language Processing (995G5)
Applied Natural Language Processing
Module 995G5
Module details for 2025/26.
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.
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