Intelligent Analysis of Text and Tone of Text

Major: Artificial Intelligence
Code of subject: 7.122.04.E.033
Credits: 5.00
Department: Artificial Intelligence Systems
Lecturer: Kaminsky R.
Semester: 2 семестр
Mode of study: денна
Learning outcomes: 1. Application of constructive methods of mathematical linguistic: information theory and information systems; set theory, discrete mathematics and combinatorics, methods of mathematical statistics and probability theory, terminology and definitions of basic concepts of information technologies to the extent sufficient for the application of the basic knowledge, skills and skills acquired for practical application in the processing of various text materials. 2. Ability to create imitation datasets for testing methods and debugging algorithms, graphically presenting the results of the use of information technologies of word processing. 3. Use of effective methods of analysis and visualization of text data in modern information systems.
Required prior and related subjects: Machine learning
Summary of the subject: Elements of information theory in linguistics. Probabilistic text modeling. Information on linguistic events. Statistical linguistics. Identification of texts
Assessment methods and criteria: 50 - labs 50 - exam
Recommended books: 1. Кубко В.П. Документа лінгвістика.. Конспект лекцій для студентів денної та заочної форм навчання / В.П. Кубко.– Одеса: ОНПУ, 2009. – 81с. 2. Соснина, Е. П. Введение в прикладную лингвистику : учебное пособие / Е. П. Соснина. –2-е изд., испр. и доп. – Ульяновск : УлГТУ, 2012. – 110 с. 3. Кайсарова Д.В. Математическая лингвистика. Практикум. / Д.В. Кайсарова, И.Ю. Коцюба – СПб: Университет ИТМО, 2016. – 67 с.