Course: Text Data Analysis

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Course title Text Data Analysis
Course code KMA/TEXT
Organizational form of instruction Lecture + Exercise
Level of course Master
Year of study not specified
Semester Summer
Number of ECTS credits 3
Language of instruction Czech
Status of course Compulsory-optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Pavlů Ivana, Mgr. Ph.D.
Course content
unspecified

Learning activities and teaching methods
Lecture, Dialogic Lecture (Discussion, Dialog, Brainstorming), Demonstration, Projection (static, dynamic)
Learning outcomes
Prerequisites
unspecified

Assessment methods and criteria
Student performance, Final project

Recommended literature
  • (2022). Text as Data: A New Framework for Machine Learning and the Social Sciences.
  • (2016). Text Data Management and Analysis.
  • (2019). Text Mining with Machine Learning: Principles and Techniques.
  • (2017). Text Mining with R: A Tidy Approach. (August 1) O'Reilly Media; 1st edition.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Science Study plan (Version): Applied Mathematics (2023) Category: Mathematics courses 1 Recommended year of study:1, Recommended semester: Summer