The Text Mining course is an elective course within the eXplainable Artificial Intelligence in healthcare Management (xAIM) master’s programme. As Artificial Intelligence (AI) becomes increasingly important, especially within the healthcare sector, it is becoming crucial to address the lack of digital skills training within the sector. This master’s programme seeks to address this by training qualified healthcare professionals in the field of AI and computer scientists in the field of healthcare.

Text Mining course: Learning outcomes

In the Text Mining course, the student will acquire knowledge on the use of the core machine learning algorithms for text mining. After the completion of this course, students will be able to preprocess textual data, understand specifics of text, transform raw text to attribute-value representation and evaluate language-based models.

With this course, students will be introduced to natural language processing, text mining, and text analysis. They will learn to accomplish various text-related data mining tasks through visual programming.

Lesson 7: Semantic Analysis

The seventh lecture in the Text Mining course focuses on Semantic Analysis and is divided into three chapters: 

1. Chapter 1: Keyword Extraction:  finding representative words and phrases in a document or a corpus. This chapter dives into various keyword extraction techniques: TF-IDK, RAKE, and YAKE!
2. Chapter 2: Semantic Analysis: uncovering meanings in unstructured text and organising the documents in such a way that conceptually similar documents are put close to one another.
3. Chapter 3: Semantic Search: listing some key terms and asking the computer to find anything related to these terms in the text.

Each of these chapters includes theoretical information, and is accompanied by step-by-step instructions and practical examples. Each chapter combines theory with practical examples for hands-on learning. The chapters are prepared by Ajda Pretnar Žagar and Blaž Zupan with the support of members of the Bioinformatics Lab at the University of Ljubljana in Slovenia.