Course: Applied Natural Language Processing

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Course title Applied Natural Language Processing
Course code DAS/PBJ4
Organizational form of instruction Lecture
Level of course Bachelor
Year of study not specified
Semester Winter and summer
Number of ECTS credits 3
Language of instruction Czech, English
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)
  • Zawiszová Halina, Mgr. Ph.D.
  • Barešová Ivona, doc. Mgr. Ph.D.
  • Shin Gyu-Ho, PhD.
Course content
Applied Natural Language Processing (Tuesday 13:15-14:45 / 2.39, tř. Svobody, DAS/JAZ4 & DAS/PBJ4) This course provides an overview of common Natural Language Processing (NLP) techniques that can be used to facilitate data mining for research. In this course, we will explore how computers process data, with a particular focus on how to apply these technologies to research. The course will involve a number of mini projects in which various NLP technologies will be applied to academic inquiries. No prior knowledge of digital technologies or computer programming is required for this course, but you are expected to spend a significant amount of time in (i) setting up your own device(s) suitable for Python programming and (ii) troubleshooting your own issues firstly and actively by consulting online platforms (e.g., Stack Overflow).

Learning activities and teaching methods
unspecified
Learning outcomes
LS 2021/22 Applied Natural Language Processing - dr. Shin Gyu-Ho

Prerequisites
unspecified

Assessment methods and criteria
unspecified
Recommended literature


Study plans that include the course
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Faculty: Faculty of Arts Study plan (Version): Chinese Studies (2023) Category: Philological sciences - Recommended year of study:-, Recommended semester: -
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Faculty: Faculty of Arts Study plan (Version): Vietnamese Philology (2019) Category: Philological sciences - Recommended year of study:-, Recommended semester: -
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Faculty: Faculty of Arts Study plan (Version): Korean for Business (2019) Category: Philological sciences - Recommended year of study:-, Recommended semester: -
Faculty: Faculty of Arts Study plan (Version): Chinese Studies (2019) Category: Philological sciences - Recommended year of study:-, Recommended semester: -