YouTube Assistant for Quick Navigation and Content Moderation

Jash Shah, Mihir Shah, Heth Gala, Jenish Hirpara, Prof. Aruna Gawade
{"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.
YouTube助手快速导航和内容审核
在当今时代,视频流已经成为人们生活中不可或缺的一部分,用不了多久,视频就会成为世界上消费最多的实体。由于这样的消费标准,确定正在流式传输的视频是否适合观众也很重要。该项目评估视频的情感,并为用户提供分类情感分数,以有效判断视频的适当性。当代,人们经常发现需要有针对性地获取相关信息,而不是浪费时间在不必要的视频部分。长期以来,YouTube chrome扩展主要集中在YouTube频道,并提供见解的频道创建者。与此相反,所提出的系统旨在针对视频类型,可行性,相关性,同时生成实体来帮助用户导航到相关的视频部分。人们会回到YouTube视频评论中寻找投资他们感兴趣的特定产品的可行性。由于YouTube流媒体拥有如此高的用户基础,它成为商业机会增长的热点。考虑到这一点,该项目旨在以reddit讨论论坛的形式提供商业见解,扫描流媒体视频的类型和中心思想,从而为他们提供更好的公众评论和见解。为了解决这个问题,为用户创建一个Chrome扩展来利用无障碍的YouTube流媒体体验是可行的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信