Abstract
This paper explores using AI to perceive emotional motivators, the underlying factors that drive human emotions. The paper discusses the capacity of AI to revolutionize the way we interact with machines, mentioning examples of its use in Netflix's recommendation gadget, Spotify's personalized playlists, and customer support chatbots. It also examines AI techniques used for segmentation, including natural language processing (NLP), facial recognition and picture analysis, voice analytics, behavioral pattern evaluation, and social media sentiment evaluation. Finally, the paper discusses the forms of information used to pick out emotional motivators, together with user behavior facts, consumer demographics facts, person comments information, content metadata, and social media records.
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