At this age, World Wide Web is growing faster. Many companies have built and launch social media networks. People so widely use to get the latest news, express their emotions or moods, communicate with friends on. Emotions of users are needed analyze in order apply many areas. researchers do research on emotion detection using different techniques languages. Currently, there no systems for Myan...

10 Abstract Beliefs about how much people can change 11 their attributes—implicit theories—influence affective and 12 cognitive responses to performance and subsequent moti13 vation. Those who believe their attributes are fixed view 14 setbacks as threatening and avoid challenging situations. In 15 contrast, those who believe these attributes are malleable 16 embrace challenges as opportunities...

The implicit control of emotion processing was investigated by varying encoding instructions for both negative and neutral pictures while measuring psychophysiological responses. Participants made comparative judgments about consecutive pictures for blocks of neutral or negative content. The highly specified judgment task was designed to minimize variance in the implementation of implicit contr...

Due to the detrimental consequences caused by cyberbullying, a great deal of research has been undertaken propose effective techniques resolve this reoccurring problem. The presented in paper is motivated fact that negative emotions can be cyberbullying. This proposes cyberbullying detection models are trained based on contextual, and sentiment features. An Emotion Detection Model (EDM) was con...

In order to make artificial intelligence smarter by detecting user emotions, this project analyzes and determines the current type of human emotions through computer vision, semantic recognition audio feature classification. facial expression recognition, for problems large number parameters poor real-time performance methods based on deep learning, Wang Weimin Tang Yang Z. et al. proposed a fa...