BWL XI: Text Mining Course in Winter Semester 23/24
In winter semester 23/24, we offer the course "Text Mining" for master's students. The number of participants is limited to a maximum number of 24 students. The deadline for applications is October 2, 2023.
Course: Text Mining (M. Sc.)
The digital age has ignited a burst in the volume of textual materials available to businesses and the public. Text mining provides computational techniques to derive actionable (managerial) insights from such unstructured data sources. The course “Text Mining” provides students with an overview of a wide range of text mining methods: from regular expressions to lexicon-based sentiment analysis, to more complex machine learning approaches and supervised text classification. At the end of the course, participants will be familiar with the most important concepts, principles, and algorithms in text mining. The course includes practical sessions focusing on text mining in R. Basic experience in R programming is desirable but not mandatory.
The main objectives of this course are:
- Understand the basic concepts of text mining and its relevance for business applications
- Gain an overview of different methods, algorithms and software tools for extracting knowledge from unstructured text data
- Practice the implementation of text mining applications in R
Organization:
- Module codes: 02-BWL/VWL:MSc-B11-1
- Lecturer: Prof. Dr. Nicolas Pröllochs (BWL XI)
- Course format: Lecture (6 CP)
- Term: Winter semester 23 / 24
- Language: English
- Grading: Presentation & Term Paper
- Schedule: See course flyer
Course evaluation by students (average 2019 – 2023): 1.4
The number of participants is limited to a maximum number of 24 students. Please register for the course by sending an e-mail to datascience@wirtschaft.uni-giessen.de (see course flyer). The application deadline is October 2, 2023 (early applications are encouraged). The course is also opened to interested bachelor students currently enrolled in the 210- and 240-CP programs.