Natural Language Processing (NLP) 2 in R for Health and Social Care

Explore intermediate 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. Build on your technical skills, and continue to explore cutting-edge NLP tools and develop a critical understanding of the ethical and social implications of handling text data. Spread across nine chapters, the course continues from NLP1 to combine theory and practice from the rapidly evolving field of NLP in health, care, academia, and industry.

Course image by Jason Leung, 2018, Free to use under the Unsplash License

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

• Classification and Features
• Named Entity Recognition
• Sentiment Analysis and Topic Modelling
• Annotation and Human Evaluation
• Measuring Performance
• Ethics and Bias
• Case Studies
• Longevity and Future of NLP Tools
• Wrapping Up

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.
• Have completed the foundational course NLP1.

• Intermediate experience of R programming language
• Completed the foundational course NLP1