{"title":"YouTube Assistant for Quick Navigation and Content Moderation","authors":"Jash Shah, Mihir Shah, Heth Gala, Jenish Hirpara, Prof. Aruna Gawade","doi":"10.1109/ICAECC54045.2022.9716634","DOIUrl":null,"url":null,"abstract":"In today’s day and time, video streaming has become an integral part of one’s life and it won’t be long enough before videos become the most consumed entity in the world. Due to such consumption standards, it is also important to determine if the video being streamed is appropriate for the audience. The project assesses the sentiments of the video and provides users with categorical sentiment scores to effectively judge the appropriateness of the video. Contemporarily, people often find the need to get relevant information being targeted rather than wasting time on unnecessary video sections. Perennially, YouTube chrome extensions primarily focus on YouTube channels and provide insights to the channel creator. In contrast to this, the proposed system intends to target the video genre, feasibility, relevance and at the same time generates entities to help navigate the user to relevant video sections. People fall back to YouTube video reviews to find feasibility of investing in a particular product they are interested in. With such a high user base for YouTube streaming, it becomes a hotspot for business opportunities to grow. Keeping this in mind the project aims to provide business insights in form of reddit discussion forums scanning the genre and central idea of the video being streamed, thus providing them with better public reviews and insights. To tackle this, it is viable to create a Chrome Extension for the user to leverage an unobstructive YouTube streaming experience.","PeriodicalId":199351,"journal":{"name":"2022 IEEE Fourth International Conference on Advances in Electronics, Computers and Communications (ICAECC)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE Fourth International Conference on Advances in Electronics, Computers and Communications (ICAECC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAECC54045.2022.9716634","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In today’s day and time, video streaming has become an integral part of one’s life and it won’t be long enough before videos become the most consumed entity in the world. Due to such consumption standards, it is also important to determine if the video being streamed is appropriate for the audience. The project assesses the sentiments of the video and provides users with categorical sentiment scores to effectively judge the appropriateness of the video. Contemporarily, people often find the need to get relevant information being targeted rather than wasting time on unnecessary video sections. Perennially, YouTube chrome extensions primarily focus on YouTube channels and provide insights to the channel creator. In contrast to this, the proposed system intends to target the video genre, feasibility, relevance and at the same time generates entities to help navigate the user to relevant video sections. People fall back to YouTube video reviews to find feasibility of investing in a particular product they are interested in. With such a high user base for YouTube streaming, it becomes a hotspot for business opportunities to grow. Keeping this in mind the project aims to provide business insights in form of reddit discussion forums scanning the genre and central idea of the video being streamed, thus providing them with better public reviews and insights. To tackle this, it is viable to create a Chrome Extension for the user to leverage an unobstructive YouTube streaming experience.