TDT4310: Intelligent Text Analytics and Language Understanding
Overall theme: Machine Learning for Natural Language Processing
 
Course Contents:
Introduction to Language Technology
Processing Raw Text, Corpora
Morphological Analysis and Tagging
Text Classification
Syntactic and Semantic Representations
Deep Learning for Language Processing
Application Areas:
Sentiment Analysis
Digital Forensics and Author Profiling
Information Access
Dialogue and Chat Bots
Machine Translation
 
Course Examination:
6 Lab Exercises [individual; obligatory to take the exam]
Must be well documented in written lab reports (incl. source code)
Attendance at the lab lectures is recommended, but not obligatory
Project Assignment [25% of the grade; 75% in corona times]
1-2 students
“Free” choice of topic
Written report
Oral presentation
Written Exam [75% of the grade; 25% in corona times]