Basics of Text Processing and Visualization
This course on Text Processing with Python provides the fundamental techniques of handling and manipulating text data. Starting with basic string operations, the course progresses to more sophisticated methods such as tokenization, stemming, lemmatization, and the removal of stop words. Participants will gain practical experience with regular expressions and will be introduced to libraries like NLTK, Matplotlib, and WordCloud for efficient text processing and visualization. By the end of the course, participants will be equipped with the skills to perform basic text processing for various applications in natural language processing and data analysis.
Content
- Overview of Text Processing
- Basic string Operations in Python
- Regular Expressions
- Tokenization, Stemming, and Lemmatization - Stop word removal
- Hands-on Exercise
Learning Outcomes
By the end of this course, participants will be able to:
- Understand the fundamentals of Text Processing.
- Learn how to handle and manipulate text data.
- Explore well-known libraries and tools for basic text processing.
Training Method
To maximize learning outcomes and engagement, the following will be used:
- Lectures
- Hands-on exercises
- Case study on Luxembourgish texts
Organised By
Digital Learning Hub Luxembourg
Certification
Participation OnlyPrerequisites
Basic knowledge of Python
Planning and location
09:00 - 16:00
ESCO Occupations
Your trainer(s) for this course
Nina HOSSEINI-KIVANANI
Hi, I’m Nina — your guide to the world of AI-powered understanding!
I’m a researcher with a PhD in Computer Science, working at the intersection of NLP, Computer Vision, and Speech Technologies. My journey began by decoding handwriting and drawings to support early Alzheimer’s diagnosis, and it has evolved into exploring how machines can see, hear, and understand like us. Whether through pixels, words, or sound waves, I’m passionate about transforming raw data into meaningful insights. Let’s turn complexity into clarity — together!