Analysis of Online Media Content Using Data Science Techniques
Kanika Singhal, Naresh Kumar, Vishnu Sharma · 2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) · 2021
online media content plays an important role on the social media. It consists of textual, visual, audio, video, images and animations. The idea of the web is to link different content that is available on different web sites. This may include personal web pages, YouTube channels, files, email messages and more. The content present on the social media is not all genuine and every content is not quality content. Some websites use fake thumbnails to attract content to their site but the content is of low quality. Google penalized many websites who are doing this type of work. There should be a content management system to manage the content on all these types of websites. The websites should make their content user friendly so that the site can be navigated easily. This paper provides review of various data science techniques used on social media dataset for online media content. In this survey, we also describe some online content problems that can be solved by using data mining techniques.