An AI Approach for Predicting Audience Reach of Presentation Slides
Type
conference paper
Date Issued
2024-06-16
Author(s)
Abstract
There is a near overflow of presentation slides on digital platforms, such as SlideShare.net, with 40
million. This presents a challenge in assessing their projected impact due to its high complexity and
required expertise. We propose a novel approach using machine learning techniques to predict
presentation slide audience reach. We crawled a unique dataset of over 8000 slides and extracted
relevant attributes. A model was trained where we are the first to employ both numerical and textual
inputs. Initial results with an R² value of 0.579 suggest that the audience reach of presentation slides
can be automatically evaluated. Our findings contribute to the current understanding of the assessment
of online documents, introducing possibilities for further research, such as focusing on domain-specific
applications and incorporating them as tools for decision support in content management systems on
sharing platforms.
million. This presents a challenge in assessing their projected impact due to its high complexity and
required expertise. We propose a novel approach using machine learning techniques to predict
presentation slide audience reach. We crawled a unique dataset of over 8000 slides and extracted
relevant attributes. A model was trained where we are the first to employ both numerical and textual
inputs. Initial results with an R² value of 0.579 suggest that the audience reach of presentation slides
can be automatically evaluated. Our findings contribute to the current understanding of the assessment
of online documents, introducing possibilities for further research, such as focusing on domain-specific
applications and incorporating them as tools for decision support in content management systems on
sharing platforms.
Language
English (United States)
Keywords
Machine Learning
Natural Language Processing
Slide Evaluation
Decision Support
Event Title
The 32nd European Conference on Information Systems (ECIS)
Event Location
Paphos, Cyprus
Contact Email Address
alexander.meier@unisg.ch
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