Digital media has allowed many people to create content by publishing their own videos online. However, the largest video-sharing service that has developed over time is YouTube which is also the largest publisher—by number of daily video uploads. In order to be able to post videos to YouTube, there are a number of procedures associated with video publishing such as creating a title, writing a description, tagging with appropriate hashtags, creating a thumbnail image and publishing the videos at designated times. The objective of this study is to develop an artificial intelligence-based (AI-Based) automated system called VidMind that helps simplify the overall process involved with video publishing on YouTube. When using the VidMind system, Content Creators will be able to publish videos to YouTube and have the system use AI to analyse the content of those videos for any video analytics purposes. In addition, the information produced by VidMind will be shared with creators upon completion of all required steps to publish a video to YouTube so that the creator receives an email notification when an uploaded video has been posted. The proposed system performs a sentiment analysis on user engagement data (comments and reactions) to analyze how an audience perceives the video currently being viewed, as well as to provide overall performance analysis of each individual video; therefore, one of the system's proposal's goals is to automate as well as to decrease the amount of manual labor needed by content creators to create and/or publish their video(s); and as a result increase the productivity level of content creators and provide improved content management practices. In addition to providing automation of workflows, the system creates more accurate metadata (or data describing the content of the video), and ensures metadata accurately reflects what the actual context of the video is; thus increasing the overall accuracy of metadata that is produced. The proposed system contains capabilities for enhancing a creator's focus on creating content of high quality, while reducing the time they spend addressing technical issues that arise from publishing a video. The VidMind System provides the means for monitoring the video performance using engagement analytics to enable content creators to determine the level of audience engagement with their content; ultimately demonstrating how AI and automation can greatly enhance the performance, scalability, and content management practices of today's video creator.
Artificial Intelligence; YouTube Automation; Video Publishing System; Content Creator Tools; Metadata Generation; Sentiment Analysis; Databricks; Python.
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