Please use this identifier to cite or link to this item:
https://elib.bsu.by/handle/123456789/306251| Title: | Multimodal Deep Regression on TikTok Content Success |
| Authors: | Wong, Louis Salih, Ahmed Song, Mingyao Xu, Jason |
| Keywords: | ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Кибернетика ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Математика |
| Issue Date: | 2023 |
| Publisher: | Minsk : BSU |
| Citation: | Pattern Recognition and Information Processing (PRIP’2023). Artificial Universe: New Horisont : Proceedings of the 16 th International Conference, Belarus, Minsk, October 17–19, 2023 / Belarusian State University : eds. A. Nedzved, A. Belotserkovsky. – Minsk : BSU, 2023. – Pp. 35-41. |
| Abstract: | Content creators grapple with the challenge of predicting if their investments will lead to increased viewership and audience growth on social media platforms. By employing advanced techniques in video encoding and natural language processing, we construct a powerful multimodal ensemble model for accurately predicting video success. Our preliminary results demonstrate the model’s effectiveness in predicting video virality |
| URI: | https://elib.bsu.by/handle/123456789/306251 |
| ISBN: | 978-985-881-522-6 |
| Licence: | info:eu-repo/semantics/openAccess |
| Appears in Collections: | 2023. Pattern Recognition and Information Processing (PRIP’2023). Artificial Intelliverse: Expanding Horizons |
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