Published Paper Details:

: Positive and negative emotions both have a significant impact on how people think, act, and feel in general. The impact of negative emotions is examined in this review in a number of areas, such as emotion recognition, self-control, learning, mental health, academic dishonesty, and workplace behavior. This study examines research that was done between 2015 to 2024 using a variety of approaches, including fMRI, EEG, ECG, self-report measurements, and machine learning techniques. As instruments for classifying and analyzing emotional states, the Emotion Wheel and Emotion Analysis Framework are presented, improving the precision and comprehensibility of emotion identification systems.Datasets such as AMIGOS, DREAMER, and DEAP help make these models more applicable and dependable. Important discoveries show that unpleasant emotions can disrupt mental health and quality of life, undermine self-control, and have an impact on learning and academic achievement. However, resilience, social support, and exercise intensity are some of the elements that mitigate the negative emotional impact. The evaluation also emphasizes how servant leadership can lessen negative feelings among staff members and increase their capacity for innovative crisis adaptation. These findings' ramifications are examined in relation to workplace analysis, educational settings, mental health evaluation, and affective computing. Future studies should investigate multimodal strategies to enhance emotion recognition systems' precision and applicability.