Abstract
Engagement and measuring is a key performance for any content. The wide spread of the Internet and the adoption in our daily life, audience has many options to explore and audience developed the power of rejection. This power of rejection reduces the time of exposure and engagement to any contents including the in person engagement. The access to the online tools and portals provide an escape route from human-tohuman interaction. A new tool to maximize audience engagement to a content that can influence a decision becomes a key performance and an asset for exposure. It enables a better delivery of the Contents, an increased interaction with the content, simplify the process of creating an engaging content, and maximize the exposure time. This paper presents a prototype, and evaluation of the performance of an automated Content Behavior Emotion Engagement Model “BEEM” that uses Deep Learning and Big Data analysis to discover the Behavior Emotion trend of the audience. BEETAIR is a new innovative framework that will transform the media market through Behavior Emotion Engagement Trigger Analyzer, and Intelligent Recommender. It uses The Artificial Intelligent-based Dialogue Generator for Maximum Audience Engagement
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Menoufia Journal of Electronic Engineering Research
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
