Multi-branch LSTM encoded latent features with CNN-LSTM for Youtube popularity prediction

Multi-branch LSTM encoded latent features with CNN-LSTM for Youtube popularity prediction

Abstract As digital media grows, there is an increasing demand for engaging content that can captivate audiences. Along with that, the monetary conversion of those engaging videos is also increased. This leads to the way for more content-driven videos, which can generate revenue. YouTube is the most...

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Bibliographic Details
Main Authors: Neeti Sangwan, Vishal Bhatnagar
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Popularity
Prediction
Regression
Deep learning
Online Access:https://doi.org/10.1038/s41598-025-86785-3
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https://doi.org/10.1038/s41598-025-86785-3

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