Abstract
Pop Mystic is an innovative platform based on a comprehensive database of caption data from over 250,000 movies and television episodes, empowering humanities scholars to engage deeply with audiovisual media through textual analysis. This project demonstrates how natural language processing and semantic search technologies can transform film and television dialogues into fully searchable, quotable, and analyzable resources, bridging traditional humanities methodologies and contemporary media studies. By translating audiovisual content into text-based forms compatible with established scholarly practices, Pop Mystic facilitates interdisciplinary conversations, encourages novel pedagogical approaches, and enriches cultural and critical analyses. This presentation outlines the design and capabilities of Pop Mystic, offer practical demonstrations of its academic applications, and explore its broader implications for future research collaborations across the humanities.
Details
Presentation Type
Theme
Communications and Linguistic Studies
KEYWORDS
AI, Web Application, Media, Movies, Television, Big Data, Captions
