Semester A
Mandatory
Natural Language Processing for Industry
The course integrates the principles of the circular economy within the context of Industry 4.0, focusing on advanced manufacturing, remanufacturing, smart cities, and sustainability. The curriculum is designed to equip students with theoretical knowledge and practical skills, enabling them to design circular economy chains for real-world applications.
Learning Outcomes
1)
Understanding and applying natural language processing (NLP) techniques in industry
2)
Natural language data analysis and the extraction of useful information
3)
Design and development of solutions that leverage modern NLP techniques
4)
Group work on the development of natural language processing applications
General Skills
Adaptation to new situations
Decision-making
Independent Project
Team Project
Creative & Inductive Thinking
Project Planning and Management
Syllabus
Week
Topic
1
Introduction to Natural Language Processing
2
Introduction to Machine Learning
3
Machine Learning Models for NLP
4
Project Topic Selection
5
Text Vectorization
6
Named Entity Recognition (NER)
7
Sentiment Analysis and Data Mining
8
Midterm Project Presentations
9
Key NLP Techniques
10
Large Language Models (LLMs)
11
Industrial NLP Applications – Virtual Assistants & Chatbots
12
Industrial NLP Applications – Risk Detection, Security Certification
13
Final Project Presentations
Evaluation & Workload
Bibliographic Assignment
Project Implementation
Independent Study
Bibliography
Chowdhary, K., & Chowdhary, K. R. (2020)
Bird, S., Klein, E., & Loper, E. (2009)
Rebala, G., Ravi, A., & Churiwala, S. (2019)
Razno, M. (2019)
Yoshioka, K., & Dozono, H. (2018)
Computational intelligence magazine
Intelligent System
Αudio speech and language processing Communications of ACM
Course Information
Semester
A΄
Minutes per Week
180
Type
Specialized Knowledge
Requirements
Course Format
Synchronous
Asynchronous
Remote
e-class
Technologies & Tools
NLP
AI
LLMs