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Dataset Uses
NeuralBlock (NB) is a neural network built using Keras/Tensorflow that detects in-video YouTube sponsorships based off of captions. There is support for both predicting whether or not a text excerpt is a sponsorship (spot) or whether or not this word in the sequence is part of a sponsorship.
For now, the plan is to use this as a moderation tool, however, it may also be used in the future to act as a tool to help with a human making submissions.
Right now, there are issues with YouTube rate-limiting the server when trying to pull a lot of captions.
Deep learning-based solution for identifying sponsored content segments on YouTube videos based off of video frames. This project was completed in Autumn 2020 for Stanford's CS 230 by Nikhil Athreya, Cem Gokmen and Jennie Yang.