Sentiment Analysis is already widely used by different companies to gauge consumer mood towards their product or brand in the digital world. However, in the offline world, users are also interacting with the brands and products in retail stores, showrooms, etc., and solutions to measure users' reactions automatically under such settings has remained a challenging task. Emotion detection from facial expressions using AI can be a viable alternative to automatically measure consumers' engagement with their content and brands.
In this post, we will discuss how such a technology can be used to solve a variety of real-world use-cases effectively.