Workshop Text Analysis using NLP for researchers
Are you a researcher in the human/social sciences with no experience in using Artificial Intelligence but wondering how these technologies could help you to conduct research or even improve it? Then this one-day introductory workshop is for you!
Practical information:
Want to register?
- Register until: 01 Nov 2023
- Price: Free
Sandwich lunch and coffee/tea will be provided.
FULL → Waiting list
This workshop aims to provide an accessible introduction to the application of Deep Learning within the field of social/human sciences. Designed specifically for beginners with no prior exposure to Machine Learning, it offers an exploration of Deep Learning’s role in Natural Language Processing (NLP), a critical aspect of modern social/human science research.
Through a blend of theoretical and practical modules, the workshop focuses on how Deep Learning can be used to understand and analyse text data. This includes understanding how AI models can recognize patterns, predict outcomes, and interpret sentiment from human language.
Learning outcome:
Participants will gain an insight into the creation of robust research methodologies based on deep learning within social/human sciences. Upon conclusion of the workshop, participants can expect to have a basic understanding of how Deep Learning can be employed in research and an awareness of the possible problems/risks when using this methodology.
This workshop is a collaboration between VAIA, CLARIAH-VL and VUB Doctoral School for Human Sciences.
Researcher Floriano Tori will be the teacher of this workshop.
If for any reason you need to cancel your registration, please let us know as soon as possible by emailing Laura.alonso.padula@vub or info@vaia.be. Note that we do not have a cancellation or no-show policy as we trust you to attend. Please be aware that late cancellations or no-shows have several negative consequences for the course organizers and potential participants:
- Other interested researchers have no chance of attending.
- The cost per participant increases significantly.
- Food, materials and time are wasted.
- Smaller groups may not guarantee the quality of the course/workshop or may lead to the cancellation of the course in question.
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