Detecting emotions using AI is a huge industry already

The solution offers EQ-based sales real-time and post-call sentiment, engagement, and EQ-based conversation intelligence for revenue teams.
If there is one aspect students have aced over the years, it is to keep a straight face while the teacher is explaining yet be in their dream world. This was further enabled with virtual schooling that allows students to protect their privacy and opt not to turn on their cameras. What if one were to tell them their teachers can now understand what a student is doing and read their emotions? Welcome to the growing world of sentiment analysis through AI.  By definition, sentiment analysis is an analytical technique that uses statistics, natural language processing, and machine learning to determine the emotional meaning of communications. The technology is used for several cases, including evaluating response to stimuli, such as in advertisement calls, schools, social media posts and more. In addition, with the increasing move to virtual meetings and calls, companies are finding it more accessible to leverage such tools. Sales analysis Uniphore is one such tool using AI to
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Picture of Avi Gopani
Avi Gopani
Avi Gopani is a technology journalist that seeks to analyse industry trends and developments from an interdisciplinary perspective at Analytics India Magazine. Her articles chronicle cultural, political and social stories that are curated with a focus on the evolving technologies of artificial intelligence and data analytics.
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