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- W4313907029 abstract "YouTube is one of the best sources of video information on the Internet. While it serves as the best media for creators to communicate to a broad audience, it has become less user-friendly over the past few years. Some official changes to the YouTube app have triggered many global audiences. One significant change that took place in the past year was the removal of the dislike count from every YouTube video. Without a dislike count, the current YouTube rating system has become ineffective. The proposed work recommends more user-friendly methods over the current inadequate rating system. Some previous researchers like Alhujaili and Rawan Fahad ( Alhujaili, R.F., Yafooz, W.M.: Sentiment analysis for youtube videos with user comments. In: 2021 International Conference on Artificial Intelligence and Smart Systems (ICAIS)) have already given insights on how sentiment analysis can be used on video comments to know the fairness of the video. So, the authors try to create a robust rating system that primarily uses sentiment analysis to provide fair ratings to every video depending on comment sentiment and would be easier to embed in the official YouTube app as a plugin. This rating system even helps to detect clickbait videos to a certain extent, making it much better than the previous systems." @default.
- W4313907029 created "2023-01-10" @default.
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- W4313907029 date "2022-01-01" @default.
- W4313907029 modified "2023-09-30" @default.
- W4313907029 title "Rating YouTube Videos: An Improvised and Effective Approach" @default.
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- W4313907029 doi "https://doi.org/10.1007/978-3-031-23092-9_14" @default.
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