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Advanced Data Science Lab II (Text Mining)

IS 809 Lab Exercise (Center for Doctoral Studies in Business)

LecturerProf. Dr. Markus Strohmaier, Dr. Max Pellert
Course FormatExercise
Course TypeCore course
OfferingFSS
Credit Points6 ECTS
LanguageEnglish
GradingTerm paper (90%), presentations (10%)
Information for Students

The course is limited to 15 participants. You can find the Portal2 course here.

Prof. Dr. Markus Strohmaier

Prof. Dr. Markus Strohmaier

Lehr­stuhl für Data Science in den Wirtschafts- und Sozial­wissenschaften
Universität Mannheim
Fakultät für Betriebs­wirtschafts­lehre
L 15, 1–6
68161 Mannheim
Max Pellert

Max Pellert

Habilitand
Universität Mannheim
L 15, 1–6 – Raum 322
68161 Mannheim

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.