Using Machine Learning to Detect Emotions and Predict Human Psychology is popular PDF and ePub book, written by Rai, Mritunjay in 2024-02-26, it is a fantastic choice for those who relish reading online the Psychology genre. Let's immerse ourselves in this engaging Psychology book by exploring the summary and details provided below. Remember, Using Machine Learning to Detect Emotions and Predict Human Psychology can be Read Online from any device for your convenience.
Using Machine Learning to Detect Emotions and Predict Human Psychology Book PDF Summary
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.
Detail Book of Using Machine Learning to Detect Emotions and Predict Human Psychology PDF
- Author : Rai, Mritunjay
- Release : 26 February 2024
- Publisher : IGI Global
- ISBN : 9798369319116
- Genre : Psychology
- Total Page : 332 pages
- Language : English
- PDF File Size : 17,8 Mb
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