Advanced Data Science Lab II (Text Mining)
IS 809 Lab Exercise (Center for Doctoral Studies in Business)
| Lecturer | Prof. Dr. Markus Strohmaier, Dr. Max Pellert |
| Course Format | Exercise |
| Course Type | Core course |
| Offering | FSS |
| Credit Points | 6 ECTS |
| Language | English |
| Grading | Term paper (90%), presentations (10%) |
| Information for Students | The course is limited to 15 participants. You can find the Portal2 course here. |
Bild: Katrin Glückler
Course Information
Course Description
The focus of this course will be on Natural Language Processing (NLP) methods, ranging from simple dictionary-based approaches to advanced, state of art methods that are based on neural networks. While some lecture time is devoted to providing an understanding of the fundamentals in the field, there will also be a special focus on applications in the social sciences. Participating students will present their results from one of the proposed focus areas and write a paper about their research.
Objectives
The goal of this lab exercises is to guide students through the typical steps of a scientific data-science project from problem formulation to data acquisition, selection of methods, analysis and presentation / documentation. Students will be equipped with practical experience with conducting scientific data-science projects. They will train their presentation skills, learn to communicate in research projects and receive feedback.