Natural Language Processing (NLP) 1 in R for Health and Social Care

Explore the fundamentals of Natural Language Processing (NLP), a key AI branch focused on interpreting and analysing human language. This course highlights NLP’s growing role in health and social care, where vast text data, from electronic health records to medical literature and social media, offers rich insights. Learn technical skills with cutting-edge NLP tools and develop a critical understanding of the ethical and social implications of handling text data. Spread across six chapters, the course combines theory and practice to prepare you for the rapidly evolving field of NLP in health, care, academia, and industry.

Course image by Jason Leung, 2017, Free to use under the Unsplash License

In this course, you will work towards the foundational knowledge and skills of the following abilities:

• Introduction to NLP
• Strings and Regular Expressions
• Loading and Using Data
• Cleaning and Preprocessing Data
• Word Frequency, Summarising and Visualising Data
• Stems, Lemmas, and Part of Speech (PoS) Tags 

This course is designed for learners who:

• Are data analysts or researchers interested in exploring text analysis using Natural Language Processing (NLP).
• Have intermediate-level experience with the R programming language.
• Work in or have an interest in the Health and Social Care sector.

Intermediate experience of R programming language