Natural Language Processing (MERIT)

"Natural Language Processing" is an online course, developed in the framework of the EU-backed MERIT initiative. MERIT, which is funded by the Digital Europe Programme of the European Union, consolidates Europe's best minds in cutting-edge technologies to create a highly skilled workforce. 

The aim of the MERIT project is to create an educational ecosystem for training digital specialists by bringing together universities, industry partners, research centres, and technology organisations. MERIT focuses on the design of a joint Master's programme that addresses the market needs in Artificial Intelligence, the Internet of Things, and Cybersecurity to boost the number of specialists in these areas. 

About this course

The course covers foundational concepts such as tokenisation, part-of-speech tagging, syntactic parsing, and semantic analysis, providing students with a solid understanding of how computers process and interpret text. 

Participants also delve into practical applications of NLP, including sentiment analysis, named entity recognition, machine translation, and text summarisation, learning to leverage state-of-the-art tools and libraries such as NLTK, spaCy, and Transformers.

Learning outcomes 

Through hands-on projects and exercises, students gain experience in preprocessing text data, building NLP models, and evaluating their performance, ultimately preparing them to tackle real-world challenges in areas like information retrieval, question answering, and conversational AI.

To take this course, you need to create and account on a dedicated page - access it here.