Institute of Science and Technology · Computer Science and Engineering (%30 English) · Doctorate
ECTS: 7.5 T+P+L: 3+0+0 Departmental Elective
Coordinator: Dr. Öğr. Üyesi Yahya ŞİRİN
Course Objective
It is aimed to calculate and modelling the patterns and structures in the language in linguistic and statistical language processing.
Course Content
Introduction to natural language processing, linguistic principles and language models, syntactic analysis, statistical language modeling, information extraction from documents, machine learning for natural language processing, text classification, n-gram analysis
Course Learning Outcomes
- With machine learning, the place of natural language processing in our daily life will be learned.
- Machine learning methods used in natural language processing will be learned practically.
Core Area Distribution
(48) Computing%50 (52) Engineering and Engineering Trades%50