Purpose YouTube's vast and engaged user base makes it central to firms' digital marketing
effort. With extant studies focusing on viewers' post-view engagement behavior, however …

The present study attempts to examine how the various emotions expressed in customer
engagement content available on online product review videos reflect purchase intentions …

Research methods and analytical approaches that support inquiry in the social sciences
need to respond to continual changes in the theoretical frameworks, research methods, and …

Short videos have been increasingly prevalent around the globe and have become an
important channel for users to share product and service information and for marketers to …

We present Affect2MM, a learning method for time-series emotion prediction for multimedia
content. Our goal is to automatically capture the varying emotions depicted by characters in …

This work conducts a systematic literature review about the domain of personalized
advertisement, and more specifically, about the techniques that are used for this purpose …

Social media users are increasingly turning to express opinions with both images and text,
while the visual content and text description may cover some conflicting information diverse …

Accurately discovering user intents from their written or spoken language plays a critical role
in natural language understanding and automated dialog response. Most existing research …

Global over-the-top (OTT) platforms such as YouTube and Netflix are gaining great
popularity worldwide. Although the entrance of global OTT platforms may undermine the …

Effectively summarizing and re-expressing video content by natural languages in a more
human-like fashion is one of the key topics in the field of multimedia content understanding …