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
Prerequisites
Basic knowledge of Python
ESCO Occupations
Your trainer(s) for this course
Nina HOSSEINI-KIVANANI
Hi, I'm Nina, your guide to the world of image processing! As a PhD researcher who’s been cracking the code of handwriting/drawing to help diagnose Alzheimer’s disease, I’m here to make pixels your pals. Let’s turn data into dazzling images!