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Instructors: Dr. Judith Eckle-Kohler; M.Sc. Nicolai Cornelius Erbs; M.Sc. Daniil Sorokin
Event type:
Integrated Course
Org-unit: Dept. 20 - Computer Science
Displayed in timetable as:
Foundations of Intelligent Systems
Subject:
Crediting for:
Hours per week:
4
Language of instruction:
German
Min. | Max. participants:
- | -
Course Contents:
The lecture offers an introduction into the perspectives, problems, methods and techniques of text technology. All examples and tutorials are based on the programming language Python.
Key aspects:
Natural language processing (NLP)
Tokenizing
Segmentation
Part-of-Speech Tagging
Corpora
Statistical analysis
Machine Learning
Categorization and classification
Information Extraction
Introduction to Python
Data structures
Working with files
Usage of libraries
Structured Programming
NLTK Library
The course is based on the Python programming language together with an open-source library called the Natural Language Toolkit (NLTK). NLTK allows explorative and problem-solving learning of theoretical concepts without the requirement of extensive programming knowledge.
Literature:
Steven Bird, Ewan Klein, Edward Loper: Natural Language Processing with Python, O'Reilly, 2009. ISBN: 978-0596516499. http://www.nltk.org/book/
Preconditions:
The course assumes familiarity with basic computing concepts, but will not assume any knowledge of the Python language, which will be acquired during the course.
If you like to work with your own notebook, we kindly ask you to follow the installation instructions given at http://www.nltk.org/download.
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