Course: null

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Course title -
Course code KMA/TEXT
Organizational form of instruction Lecture + Exercise
Level of course Master
Year of study 1
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
Learning outcomes
Prerequisites
unspecified

Assessment methods and criteria
unspecified
Recommended literature
  • (2022). Text as Data: A New Framework for Machine Learning and the Social Sciences. Princeton University Press (March 29).
  • (2016). Text Data Management and Analysis. Association for Computing Machinery and Morgan & Claypool (23 June).
  • (2019). Text Mining with Machine Learning: Principles and Techniques. CRC Press (October, 2019).
  • (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