Using Machine Learning To Detect Emotions And Predict Human Psychology
Download and Read Using Machine Learning To Detect Emotions And Predict Human Psychology full books in PDF, ePUB, and Kindle. Read online free Using Machine Learning To Detect Emotions And Predict Human Psychology ebook anywhere anytime directly on your device. We cannot guarantee that every ebooks is available!
Using Machine Learning to Detect Emotions and Predict Human Psychology
Author | : Rai, Mritunjay |
Publisher | : IGI Global |
Total Pages | : 332 |
Release | : 2024-02-26 |
Genre | : Psychology |
ISBN | : |
Download Using Machine Learning to Detect Emotions and Predict Human Psychology Book in PDF, Epub and Kindle
In the realm of analyzing human emotions through Artificial Intelligence (AI), a myriad of challenges persist. From the intricate nuances of emotional subtleties to the broader concerns of ethical considerations, privacy implications, and the ongoing battle against bias, AI faces a complex landscape when venturing into the understanding of human emotions. These challenges underscore the intricate balance required to navigate the human psyche with accuracy. The book, Using Machine Learning to Detect Emotions and Predict Human Psychology, serves as a guide for innovative solutions in the field of emotion detection through AI. It explores facial expression analysis, where AI decodes real-time emotions through subtle cues such as eyebrow movements and micro-expressions. In speech and voice analysis, the book unveils how AI processes vocal nuances to discern emotions, considering elements like tone, pitch, and language intricacies. Additionally, the power of text analysis is of great importance, revealing how AI extracts emotional tones from diverse textual communications. By weaving these systems together, the book offers a holistic solution to the challenges faced by AI in understanding the complex landscape of human emotions.
Using Machine Learning to Detect Emotions and Predict Human Psychology Related Books
Pages: 332
Pages: 0
Pages: 333
Pages: 514
Pages: 262