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

Instructors: Alexandra Kogan

Master’s programme: Data Science

Language: English

ECTS credits: 6

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