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The design of an Interactive Topic Modeling application for media content.

Ham, Laura (2020) The design of an Interactive Topic Modeling application for media content.

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Abstract:Topic Modeling has been widely used to analyze the increasing amount of text documents. Recently, Interactive Topic Modeling (ITM) has been introduced to incorporate human expertise. There is, however, a knowledge gap between data scientists and domain experts. This thesis presents an ITM application accessible to non-technical data analysts in the broadcasting domain. The application allows domain experts to explore themes in produced media content in a dynamic, intuitive and efficient manner. An interactive interface, with an embedded NMF topic model, enables users to filter on various data sources, configure and refine the topic model, interpret and evaluate the output by visualizations, and analyze the data in wider context. An evaluation study shows that the application is usable, user-friendly, effective and efficient. A SUS score of 81 was received, and a UX questionnaire received an average of 4.1 on a five-point Likert scale. The success of the final application design presented in this thesis shows that the knowledge gap between data scientists and domain experts in the broadcasting field has been filled. In bigger perspective; machine learning applications can be made more accessible by translating hidden low-level details of complex models into high-level model interactions, presented in a user interface.
Item Type:Essay (Master)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Interaction Technology MSc (60030)
Link to this item:http://purl.utwente.nl/essays/82369
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