We use cookies in order to improve the quality and usability of the HSE website. More information about the use of cookies is available here, and the regulations on processing personal data can be found here. By continuing to use the site, you hereby confirm that you have been informed of the use of cookies by the HSE website and agree with our rules for processing personal data. You may disable cookies in your browser settings.

✖
  • A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site
For visually-impairedFor visually-impairedUser profile (HSE staff only)SearchMenu
HSE University
User profile (HSE staff only)Search
Advanced search

Course Syllabus

Course Syllabus


 

Have you spotted a typo?
Highlight it, click Ctrl+Enter and send us a message. Thank you for your help!

Master 2022/2023

Introduction to NLP

Type: Compulsory course (Applied Linguistics and Text Analytics)
Area of studies: Fundamental and Applied Linguistics
Delivered by: Department of Fundamental Mathematics
Where: Faculty of Humanities (Nizhny Novgorod)
When: 1 year, 4 module
Mode of studies: offline
Open to: students of one campus
Instructors: Natalya Stankevich
Master’s programme: Прикладная лингвистика и текстовая аналитика
Language: English
ECTS credits: 3
Contact hours: 40

Course Syllabus

Ask Question

Abstract

NLP (Natural Language Processing) is natural language processing, which allows you to apply machine learning algorithms to text and speech. The course will study the basics of NLP, the mathematical methods used in NLP, sentiment analysis, working with databases etc.