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Neural Network that detects in-video YouTube sponsorships.

Home Page: https://ai.neuralblock.app

Python 90.95% CSS 2.74% HTML 5.84% Dockerfile 0.47%
neural-network sponsorships video-youtube-sponsorships

neuralblock's People

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neuralblock's Issues

Could you please explain these two sentences from the README.md?

Great work! Could you please explain these two sentences from the README.md?

The sequence of text is tokenized using the top 10,000 words found in sponsorships.

Where does this list come from? Did you simply fetch transcripts for the videos in the training data (a subset of the SponsorBlock data) and collect the tokens from the known sponsor segments? Is this just a simple count? Are stopwords removed? etc.

Note, using a pre-trained word embedding by fastText does not yield better performance.

I'm familiar with fastText, but could you please elaborate a little more on this? I'm not sure I understand what optimization you attempted (and ultimately concluded to not be worthwhile).

Skip on the fly

Have you thought about making it a web browser extension to automatically skip to sponsors on Youtube?

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