Text Data Analysis

Undergraduate Program Status

Mandatory-Elective
Data Science - Specialization
Course Level: 
Bachelor's
Campus: 
Vienna
Course Open to: 
Students on-site
Academic Year: 
2022-2023
Term: 
Winter
US Credits: 
2
ECTS Credits: 
4
Course Code: 
UGST4094
Course Description: 

The aim of this course is to introduce the major techniques for natural language processing, as well collecting, cleaning and analyzing textual data to discover relevant patterns and extract useful information. Special emphasis will be given to statistical approaches and computational algorithms that require minimal to no human intervention. Students will learn the basic concepts, principles, and major algorithms in text analysis and their potential applications.

Learning Outcomes: 

Students will be able to analyze textual data efficiently and proficently, and will have the ability of to recognize and tackle nuanced pitfalls in the analysis of large text corpora.

Assessment: 

Homework (10%), Mid-term (40%), Final (50%)