AAI652O AI for Digital Humanities

[3–0, 3 cr.]

Throughout this journey, students will engage with concepts of culture and society through the use of un(der)explored datasets of text, image and sound, while embracing new computational frameworks that are increasingly powerful and easy to use. We focus on the importance of an interdisciplinary, liberal arts mindset in the domain of AI. This course covers the essential and practical skills for applying AI in digital humanities. Topics shall cover AI models, techniques and tools for digital content and resources including text and web mining and analysis, automatic language analysis, sentiment analysis graphs and reports, opinion mining, topic modeling, identification of ideas, web structure mining, web usage mining, language models, visualizations of large image sets, 3D modeling and classification of historical artifacts, and AI driven creation of music, images, and literature.