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Trained on over 15,000 YouTube videos, this model is built on state-of-the-art techniques in image & natural language processing combined with a classic machine learning pipeline. By analyzing vast amounts of video metadata, it learns to predict the potential performance of new videos using only pre-publication data that have been scientifically proven to influence audience engagement.
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