Master
2024/2025
Natural Language Processing on Python
Type:
Elective course (Data Science)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
School of Data Analysis and Artificial Intelligence
Where:
Faculty of Computer Science
When:
1 year, 3, 4 module
Mode of studies:
offline
Open to:
students of one campus
Master’s programme:
Data Science
Language:
English
ECTS credits:
6
Contact hours:
52
Course Syllabus
Abstract
The course will cover the main tools and libraries of the Python language for natural language processing (NLTK - natural language toolkit). Tokenization, stemming, morphological and syntactic parsing, working with semantics, access to corpora and lexical resources, text classification, search for named entities