Master 2022/2023

Natural Language Processing on Python

Type: Elective course (Data Science)

Area of studies: Applied Mathematics and Informatics

Delivered by: Department of Complex System Modelling Technologies

Where: Faculty of Computer Science

When: 1 year, 3, 4 module

Mode of studies: offline

Open to: students of one campus

Instructors: Рыгаев Иван Петрович

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.