Electrotechnical and Computer Engineering
Vol. 37 No. 02 (2022): Proceedings of the Faculty of Technical Sciences
POPULARITY PREDICTION OF 9GAG POSTS WITH USAGE OF MULTIMODAL DATA AND FOCUS ON TEXTUAL DATA
Abstract
Popularity prediction of 9gag posts could help recognize and analyze key elements of popular content on social media. This type of research could be necessary for areas such as marketing. This paper presents the system's architecture for 9gag post popularity prediction, where the focus is on analyzing the textual elements of the posts. Two approaches were used - training multiple different classifiers and classifier staking. Results are presented and analyzed at the end, and future work of the system is discussed.
References
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