Natural Language Processing for Business and Finance Project

This course will give students the opportunity to work in interdisciplinary*) teams on projects that implement solutions stemming from natural language processing (NLP) for challenges and tasks from business and other organizations, and has the following elements:

• Introduction to (interdisciplinary) teamwork
• Presentation of the lists of projects available
• Project work
• Intermediary updates on progress
• Final presentation by each team
• Report on project and experience of the (interdisciplinary) collaboration 

*) Interdisciplinary teams can be built when students from different Master programs enroll.

Prerequisite

Basic Python programming, and machine learning/NLP, or successfully having finalized the course NLP for Business and Finance. 

Over the past few years, thanks to the impressive capabilities of large language models (LLMs), the automatic analysis and generation of (unstructured) textual data has found rapid uptake in business, and other organizations, a trend that is likely to continue to grow in the future. This course aims to give students the opportunity to address real-world problems in interdisciplinary teams from a variety of fields, such as Communication, NLP, FinTech, and AI. The aim is to invite business partners in the corporate world and in other organizations to provide the students with actual challenges they are facing and provide the data that students can work with. This will give the students experience with the complexities of working with real-world data, expose them to the world of work, and create a network that may benefit them in their future careers. 

In presence

Apart from the first session that will be a lecture, the remaining sessions are hands-on sessions where each team gets feedback and guidance. The last few sessions are reserved for project presentations. Students should bring a laptop to all classes. 

The final grade is determined by the final presentation (40%) and the report (60%).