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 < /div>
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