General Information
| Course Code | XB_0085 |
|---|---|
| Credits | 6 EC |
| Period | P2 |
| Course Level | 200 |
| Language of Tuition | English |
| Faculty | Faculty of Science |
| Course Coordinator | dr. I. Markov |
| Examiner | dr. I. Markov |
| Teaching Staff |
dr. I. Markov |
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Part of programme(s)
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Practical Information
You need to register for this course yourself. The (de)registration deadlines can be found on VU.nl
| Teaching Methods | Seminar, Lecture |
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Target audiences
This course is also available as:
Course Objective
Knowledge and understanding: at the end of the course, students will be familiar with basic knowledge of some of the core aspects of Natural Language Processing (NLP), Linguistics and Text Mining: rule-based systems, machine learning, deep learning, text classification, sentiment extraction, entity recognition and topic modeling of texts.
Applying knowledge and understanding: students will be able to implement Natural Language Processing processing systems and modules and evaluate these.
Making judgements: students will have a basic understanding of the societal implications of the developments in NLP.
Communication skills: students will be able to report on a specific real-world NLP task in a group of students.
Learning skills: students will be trained in acquiring a set of NLP techniques in a restricted period of time and perform the necessary (empirical) research.
Course Content
Basic concepts from Linguistics and foundational concepts from Natural Language Processing. Skills to use, apply and critically assess text mining techniques. Adapt and build text mining techniques to specific target domains and applications.
Additional Information Teaching Methods
Theoretical lectures and working in groups.
Method of Assessment
Multiple choice exam on theory and a group project. Both the multiple choice exam and the group project are eligible for resit.
Additional Information
The use of gen AI is not allowed for the course-related assignments.